Articles tagged with "robotics"
All3 launches AI and robotics to tackle housing construction - The Robot Report
All3, a London-based company, has emerged from stealth mode to introduce an AI- and robotics-driven building system aimed at addressing the growing housing shortage in Europe and North America amid a severe skilled labor deficit. The company’s vertically integrated approach combines AI-powered custom building design, automated manufacturing, and robotic assembly, primarily using structural timber composites. This system streamlines construction processes from initial design to final build, enabling faster development, significant cost reductions, and improved sustainability and affordability. All3’s technology is particularly suited for complex urban brownfield sites, where irregular shapes and limited access pose challenges to traditional construction methods. The construction industry has historically underinvested in innovation, spending less than 1% of revenues on R&D compared to 4.5% in sectors like automotive, resulting in reliance on outdated, labor-intensive processes. Europe alone faces a shortage of 4.2 million construction workers, a gap expected to widen as many skilled workers retire. All3’s CEO, Rodion Shish
roboticsartificial-intelligenceconstruction-technologyautomationbuilding-materialssustainable-housingAI-in-constructionWorld’s first flying humanoid robot with jet engines debuts in Italy
Researchers at the Italian Institute of Technology (IIT) have developed and successfully tested iRonCub3, the world’s first jet-powered humanoid robot capable of hovering mid-air. Equipped with four jet engines—two on its arms and two on a backpack—and a titanium spine to withstand extreme heat from exhaust gases reaching 800°C, the 70 kg robot lifted off about 50 centimeters in initial indoor tests. iRonCub3 integrates advanced AI and aerodynamic control systems to maintain stability despite its asymmetrical, human-like form and shifting center of mass, a challenge not present in traditional drones. The robot’s flight control relies on neural networks trained with simulated and experimental data, enabling it to adapt to turbulent airflows and dynamic limb movements in real time. The development of iRonCub3 involved a co-design approach optimizing both the robot’s physical structure and engine placement to maximize flight control and thermal resilience. Collaborations with the Polytechnic of Milan and Stanford University contributed to wind tunnel testing and machine learning integration
roboticshumanoid-robotjet-enginesAIflight-controltitanium-materialsaerial-mobilityCelebrating 200 podcast episodes; robotics evolve in space exploration
The Robot Report Podcast celebrated its 200th episode featuring Dr. Robert Ambrose, a leading expert in robotics and AI with over 20 years of experience spanning NASA, academia, and startups. Ambrose discussed the significant evolution of robotics in space exploration, highlighting pioneering projects he led at NASA’s Johnson Space Center such as Robonaut, Valkyrie, Centaur, and various lunar rovers including the LTV and VIPER. He emphasized the transition of space robotics technologies to commercial applications and the critical need for the U.S. to reclaim leadership in robotics innovation amid global competition, particularly from China. Ambrose also stressed the importance of education in developing future engineers and advocated for proactive adoption of automation across industries. Ambrose’s career includes key roles shaping national robotics strategy at NASA headquarters and directing advanced research programs at Texas A&M, focusing on robotic manipulation, surface mobility, and human augmentation. The podcast episode also commemorated milestones of The Robot Report Podcast itself, which launched in June 2020
roboticsspace-explorationNASAhumanoid-robotsrobotic-roversautonomous-systemswearable-roboticsPrismaX launches with $11M to scale virtual datasets for robotics foundation models - The Robot Report
PrismaX, a San Francisco-based startup founded in 2024 by Bayley Wang and Chyna Qu, has launched with $11 million in funding to address key challenges in the physical AI and robotics industry related to data quality, model development, and scalability. The company is developing a robotics teleoperations platform aimed at creating a decentralized ecosystem that incentivizes the collection and use of high-quality visual datasets. PrismaX’s approach focuses on establishing fair use standards where revenue generated from data powering AI models is shared with the communities that produce it, thereby tackling issues of data scarcity, bias, and affordability that have hindered robotics advancements. The platform is built around three foundational pillars: data, teleoperation, and models. PrismaX plans to validate and incentivize visual data to scale robotics datasets comparable to text data, define uniform teleoperation standards to streamline operator access and payments, and collaborate with AI teams to develop foundational models that enable more autonomous robots. This integrated approach aims to create a “data flywheel
roboticsartificial-intelligenceteleoperationdata-scalabilityautonomous-robotsrobotics-foundation-modelsdecentralized-technologyWaymo Robotaxi Stops for Kids Chasing Dogs Chasing Ball into Street - CleanTechnica
The article highlights a notable incident involving a Waymo robotaxi in California, which safely stopped to avoid hitting two small dogs chasing a ball into the street, followed by children chasing the dogs. Despite poor visibility and visual obstructions from parked vehicles, the autonomous vehicle detected the dogs early and braked suddenly, demonstrating impressive situational awareness and reaction capabilities. The author emphasizes that such a response might not be guaranteed from a human driver or other self-driving systems, underscoring Waymo’s advanced safety features. Additionally, the article praises Waymo’s visualization technology, which clearly displays detailed silhouettes of pedestrians and animals, providing transparency into what the vehicle’s sensors detect. Dmitri Dolgov, Waymo’s co-CEO, shared an alternative view of the incident, reflecting the company’s pride in their system’s safety performance. Overall, the event serves as a strong example of Waymo’s progress in developing autonomous vehicles that prioritize safety and can handle complex, real-world scenarios effectively.
robotautonomous-vehiclesWaymoself-driving-carsroboticsAI-vision-systemstransportation-technologyNew robot swarm builds resilient structures without human interference
Engineers at the University of Pennsylvania have developed a novel swarm robotics system inspired by insect colonies, enabling robots to build resilient honeycomb-like structures without centralized plans, blueprints, or coordination. Mimicking how bees, ants, and termites construct complex nests through local environmental cues, these robots follow simple mathematical rules to self-assemble by reacting only to their immediate surroundings. This decentralized approach allows the swarm to continue building even if individual robots fail, enhancing resilience and adaptability in unpredictable conditions. The research team fine-tuned the swarm’s behavior through extensive simulations, adjusting parameters such as speed and turn angle to influence the geometry and toughness of the resulting structures. Their findings build on prior insights that introducing disorder into honeycomb lattices can increase material toughness, demonstrating that swarm behavior can autonomously generate such beneficial variations. While still primarily in simulation, early physical prototypes have been created, and future work aims to translate the system to real-world applications, potentially using electrochemical methods to grow metal structures. This approach represents a
roboticsswarm-roboticsdecentralized-manufacturingautonomous-robotsresilient-structuresbio-inspired-robotsself-assemblyRoboworx to aid Miso Robotics in installation, maintenance of its Flippy robots - The Robot Report
Miso Robotics has partnered with Roboworx to provide installation, maintenance, and ongoing support for its Flippy Fry Station, an automated frying robot designed to address labor shortages in the restaurant industry. Flippy automates frying tasks with precision and consistency, powered by Miso’s proprietary Kitchen AI, and offers 99% uptime with self-healing capabilities. The robot enhances labor flexibility by allowing employees under 18 to operate it legally and is offered through a robotics-as-a-service (RaaS) model with no upfront costs, making it a cost-effective alternative to full-time staff. Currently, Flippy is deployed in 20 locations, including Jack in the Box and White Castle, with further rollouts planned. The collaboration leverages Roboworx’s nationwide network of robot technicians to support both new and existing Flippy installations, ensuring rapid deployment, preventative maintenance, on-demand repairs, and customer training. Roboworx’s services aim to maximize the value of Miso’s automation systems
roboticsrestaurant-automationFlippy-robotMiso-RoboticsRoboworxAI-automationrobotics-maintenanceRobot sales for the automotive industry remain high in Europe - The Robot Report
According to the International Federation of Robotics (IFR), investments in automation within Europe’s automotive industry remain robust, with 23,000 industrial robots installed in 2024—marking the second-highest figure in five years. The automotive sector is Europe’s largest robotics customer, accounting for about one-third of the region’s annual manufacturing robot installations, surpassing North America’s 19,200 units in the same year. Europe’s leadership in automotive automation is further highlighted by six European countries ranking among the top 10 globally for robot density in the automotive industry, with Switzerland leading at 3,876 robots per 10,000 factory workers. Germany, Italy, and Spain are key contributors to Europe’s overall robotics installations, with Germany alone representing roughly 30% of the total. Globally, China is experiencing significant growth in robotics adoption, driven by a national strategy that has resulted in approximately 280,000 robot installations annually between 2021 and 2023. China now accounts for
roboticsindustrial-robotsautomotive-industryautomationEuropemanufacturingrobot-densityApplied Intuition raises $600 million as it pushes further into defense
Applied Intuition, a prominent autonomous vehicle software company, has secured $600 million in a Series F funding round, elevating its valuation to $15 billion. The round was co-led by BlackRock-managed funds and Kleiner Perkins, with participation from new investors such as the Qatar Investment Authority and Abu Dhabi Investment Council, alongside existing backers like General Catalyst and Bond. This funding comes just a year after a $250 million Series E round that valued the company at $6 billion. Applied Intuition specializes in software that aids both commercial companies and government agencies in developing autonomous vehicle technologies, including simulation tools and data management. The company serves major automakers and autonomous vehicle firms like Gatik and Kodiak, and has recently expanded its focus into the defense sector. Notably, Applied Intuition collaborated with the U.S. Army to rapidly develop autonomous capabilities for an infantry squad vehicle, transforming it from a basic model to fully autonomous within 10 days. This effort involved creating a robotic system capable of physically
robotautonomous-vehiclesdefense-technologyAI-softwaresimulation-softwareautomotive-technologyroboticsAI co-designs a jumping robot that outperforms its human-made twin
Researchers at MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) have developed a novel system leveraging generative AI, specifically diffusion models, to co-design robots by optimizing their mechanical structures through iterative simulation and fabrication. This approach allows users to input a 3D model and specify modifiable components, enabling the AI to generate and test numerous design variants before physical production. In a key demonstration, the AI-designed jumping robot outperformed a human-designed counterpart by jumping 41% higher, achieved through innovative curved, drumstick-like linkages that were lighter yet stronger and had greater energy capacity. Additionally, the AI improved the robot’s foot design, enhancing landing stability by 84%, significantly reducing falls. This breakthrough highlights the potential of diffusion models to reveal new insights into structural physics and accelerate hardware design processes, which traditionally lag behind software development due to complexity and manufacturing constraints. By balancing competing objectives such as jump height and landing success, the AI system produced optimized designs that blend human intuition with machine precision.
roboticsAI-designgenerative-AI3D-printingrobot-optimizationdiffusion-modelsrobotic-hardwareElephant trunk drone arm bends, grabs, and works in tight spaces
Researchers at the University of Hong Kong have developed the Aerial Elephant Trunk (AET), a flexible, shape-shifting robotic arm inspired by an elephant’s trunk, designed to enhance drone capabilities in complex manipulation tasks. Unlike traditional rigid drone arms with grippers, the AET uses a soft, continuum structure that can bend, twist, and wrap around objects of various sizes and shapes, enabling drones to operate effectively in tight spaces and awkward angles. This innovation addresses key limitations of existing aerial robots, such as weight constraints and limited range of motion, allowing drones to perform tasks that require both reach and finesse. The AET’s dexterity and adaptability make it particularly valuable for applications in disaster response, infrastructure maintenance, and inspections in hard-to-reach environments. It can navigate narrow pipelines, maneuver around obstacles, and handle delicate operations like clearing debris from collapsed buildings or repairing high-voltage lines and bridges. By expanding the functional roles of drones beyond observation to hands-on interaction, the AET represents a
roboticsdronesaerial-roboticsflexible-robotic-armsrobotic-manipulationdisaster-response-technologyinfrastructure-inspectionNew remote-controlled giant robotic saw slices rocks like butter
The KUKA Catonator is a groundbreaking remote-controlled robotic saw designed to revolutionize cutting in construction, shipbuilding, and heavy manufacturing. Mounted on the KUKA FORTEC KR 480 Ultra robotic arm, it features powerful spindle blades ranging from 1,000 to 2,000 mm in diameter, enabling it to slice through tough materials such as steel, concrete, and complex composites with high precision. The saw boasts a payload capacity of up to 300 kg and a reach exceeding 3 meters, combining brute cutting force with advanced automation to handle complex geometries previously unattainable by robots. The Catonator operates fully electrically, powered by a high-performance battery module that eliminates CO₂ emissions and reduces noise and exhaust fumes compared to traditional diesel-powered equipment. Its precision is enhanced by KUKA’s SmartProduction ecosystem, which provides real-time sensor data and machine learning algorithms to optimize cutting paths and blade performance, maintaining a tolerance as fine as 0.1 millimeters.
robotroboticsremote-controlautomationconstruction-technologyelectric-machinerysmart-productionWatch: Figure 02 robot achieve near-human package sorting skills
Figure AI’s humanoid robot, Figure 02, has demonstrated significant advancements in package sorting, achieving near-human speed and dexterity by processing parcels in about 4.05 seconds each with a 95% barcode scanning success rate. This marks a 20% speed improvement over earlier demonstrations despite handling more complex tasks involving a mix of rigid boxes, deformable poly bags, and flat padded envelopes. Key to this progress is the upgraded Helix visuomotor system, which benefits from a six-fold increase in training data and new modules for short-term visual memory and force feedback. These enhancements enable the robot to remember partial barcode views, adjust grips delicately, and manipulate flexible parcels by flicking or patting them for optimal scanning. The improvements highlight the potential of end-to-end learning systems in dynamic warehouse environments, where the robot can adapt its sorting strategy on the fly and even generalize its skills to new tasks, such as recognizing a human hand as a signal for handing over parcels without additional programming
roboticshumanoid-robotpackage-sortingmachine-learningforce-feedbackvisual-memoryautomationScientists build robot that can soar and roll on just two actuators
Researchers at the Singapore University of Technology and Design have developed ATOM, a novel dual-mobility robot that operates using only two actuators to achieve both flight and ground movement. Unlike most hybrid robots that rely on multiple motors, gears, or transformable frames, ATOM’s design employs two counter-rotating actuators enabling it to take off, fly directionally, roll on the ground, and perform turns with high energy efficiency. Its mono-wing structure acts like a spinning wheel in flight, capable of rotating clockwise or anticlockwise, a rare feature among similar designs. On the ground, ATOM uses its frame for navigation and employs a reverse thrust mechanism to handle resistance during turns, enhancing control and maneuverability. ATOM addresses several limitations seen in previous hybrid robots. Earlier mono-wing robots struggled with ground friction, directional flight constraints, and the inability to self-right after landing upside down, often requiring manual intervention. In contrast, ATOM’s wheeled frame reduces drag on rough surfaces, its
roboticsdual-mobility-robotenergy-efficient-robotactuatorshybrid-robot-designaerial-ground-robotsearch-and-rescue-robotfarm-ng updates Amiga robot software for small, midsize farms - The Robot Report
Farm-ng has released significant updates to its Amiga modular robot software, aiming to enhance usability and accessibility for small and midsize farms. The company emphasizes its commitment to providing affordable, practical agricultural robotics solutions that empower farmers with advanced technology. Key improvements include a streamlined, grower-centric user interface (UI) that allows intuitive monitoring of robot health, easy management of implements like sprayers, and simplified operation even for users with limited technical skills. Additional enhancements feature automated implement control within farming zones, improved accuracy in hands-free navigation, and a new Job Manager tool designed to plan, save, and repeat tasks such as seeding, weeding, and spraying. This functionality aims to increase operational efficiency, reduce human error, and save time by enabling precise, hands-free work. All software updates are delivered over-the-air (OTA), allowing existing Amiga users to upgrade seamlessly without extra hardware or complex installations. Overall, these updates reinforce farm-ng’s mission to support productivity and innovation in agriculture through accessible robotics technology
roboticsagricultural-robotsfarm-automationmodular-robotsAmiga-robotprecision-agriculturerobotic-software-updatesWelding project uses robotics to crunch 12 workhours into 45 minutes - The Robot Report
The article details a successful automation project undertaken by Properly Works and Seibel Modern to dramatically improve the efficiency of fabricating steel fencing for a bridge construction project. Faced with the challenge of producing over 3 miles of fencing within 90 weeks—each segment requiring about 10 hours of manual welding and setup—Seibel Modern partnered with Properly Works to develop a fully automated robotic welding work cell. This integrated system, orchestrated by an AutomationDirect Productivity PLC, synchronized the welding process, robot movements, and fixture positioning, achieving a remarkable 12-to-1 reduction in production time (compressing 12 work hours into 45 minutes) while also reducing rework by 50%. The collaboration leveraged Seibel Modern’s expertise in welding geometry and fixture design alongside Properly Works’ automation and sensor integration capabilities. The automated fixture featured a servo motor-driven rack-and-pinion mechanism and hydraulic lift for precise positioning, synchronized with the robotic welding arm’s gantry system. A programmable logic controller (
roboticsautomated-weldingindustrial-automationrobotic-welding-armmanufacturing-efficiencycollaborative-robotswelding-technologyHyundai Motor Group & Incheon International Airport to Deliver Next-Level Convenience with AI-Powered EV Charging Robots - CleanTechnica
Hyundai Motor Group and Incheon International Airport Corporation (IIAC) have entered a strategic partnership to deploy AI-powered electric vehicle (EV) automatic charging robots (ACRs) at Incheon International Airport. This collaboration, formalized through a Memorandum of Understanding, aims to enhance convenience, safety, and operational efficiency by integrating Hyundai’s advanced robotics and AI technologies with the airport’s infrastructure. The airport will serve as a demonstration site to verify usability and gather user feedback, supporting the airport’s transformation into an “Aviation AI Innovation Hub” amid its ‘Incheon Airport 4.0 Era’ expansion. The ACR technology has received safety certifications from Korea (KC) and the European Union (CE), underscoring its reliability and quality. Hyundai Motor Group plans to leverage its Robotics LAB experience, including prior demonstration projects like the ‘robot-friendly building’ initiative in Seoul, to expand ACR services beyond airports to other transportation hubs such as seaports and railways. The partnership also includes
roboticsartificial-intelligenceelectric-vehiclesEV-chargingsmart-airportmobility-solutionsHyundai-Motor-GroupSojo Industries raises $40M to scale mobile manufacturing lines - The Robot Report
Sojo Industries, a Bristol, Pennsylvania-based company specializing in advanced robotics, mobile manufacturing, and modular packaging systems for the food and beverage industry, has raised $40 million to expand its operations. Founded in 2021, Sojo aims to scale its Sojo Flight mobile manufacturing lines, enhance its Sojo Shield track-and-trace software platform, and broaden automation across its “atoms to bits” platform. The funding round was led by S2G Investments, a firm focused on sustainable solutions in food, agriculture, oceans, and energy. Sojo’s technology addresses inefficiencies in legacy packaging models by enabling faster, more flexible, and cost-effective production and distribution, particularly for variety-pack products. Sojo Flight offers mobile manufacturing lines that can be deployed and operational within an hour, allowing on-site production that reduces the need for shipping products to separate co-packing facilities. This approach helps brands and manufacturers save significantly on freight and packaging costs while increasing supply chain agility. Additionally, Sojo Shield provides
roboticsmobile-manufacturingautomationpackaging-technologysupply-chain-innovationfood-and-beverage-industrymodular-systemsChinese firm eases humanoid, legged robot development with new suite
EngineAI Robotics, a Shenzhen-based Chinese firm, has launched EngineAI RL Workspace, an open-source, modular reinforcement learning platform tailored specifically for legged robotics development. This comprehensive suite includes dual frameworks—a training code repository and a deployment code repository—that together provide an end-to-end solution from algorithm training to real-world application. The platform is designed to enhance development efficiency through reusable logic structures, a unified single-algorithm executor for both training and inference, and decoupled algorithms and environments that enable seamless iteration without interface changes. The EngineAI RL Workspace integrates the entire development pipeline with four core components: environment modules, algorithm engines, shared toolkits, and integration layers, each independently encapsulated to facilitate multi-person collaboration and reduce communication overhead. Additional features include dynamic recording systems for capturing training and inference videos, intelligent version management to maintain experiment consistency, and detailed user guides to support rapid onboarding. At CES 2025, EngineAI showcased humanoid robots like the SE01, a versatile 5.
roboticshumanoid-robotsreinforcement-learninglegged-robotsrobot-developmentAI-in-roboticsmodular-robotics-platformRecapping Robotics Summit & Expo 2025
The Robot Report Podcast’s Episode 199 features Cam Myers, CEO of CreateMe Technologies, discussing the innovative integration of robotics and adhesive technology in garment manufacturing. Myers highlights the challenges of automating clothing production and the advantages of adhesives over traditional sewing, emphasizing potential reshoring of manufacturing due to shifting tariffs. He also outlines CreateMe’s future focus on sustainability and adapting to changing consumer demands. This episode marks the podcast’s first to include a video interview on their YouTube channel. The episode also covers key industry news, including Aldebaran—the maker of the humanoid robots Nao and Pepper—entering receivership after financial struggles despite past successes and acquisitions. Additionally, the U.S. Congressional Robotics Caucus has been relaunched as a bipartisan effort to promote robotics research and industry competitiveness, with new co-chairs appointed. Lastly, Amazon is reportedly developing AI software to train humanoid robots for package delivery, aiming to enhance automation in its logistics operations.
roboticshumanoid-robotsautomationmanufacturing-technologyadhesive-technologyrobotics-industryCongressional-Robotics-CaucusStartups Weekly: No sign of pause
The article "Startups Weekly: No sign of pause" highlights the continued dynamism in the startup ecosystem despite major industry events like WWDC, with June seeing numerous significant deals and IPO announcements. It underscores that startup trajectories are often nonlinear, exemplified by neobank Chime’s near-collapse in 2016 before its highly anticipated IPO. Other notable startups include Nucleus Genomics, which offers controversial embryo genetic testing, and Automattic, the WordPress.com owner, which continues to support its personal CRM app after raising substantial venture capital. The piece also details key venture capital and funding developments, spotlighting several large and strategic investments. Multiverse Computing raised about $215 million for its technology that reduces the size and cost of large language models, while enterprise AI company Glean’s valuation surged to $7.2 billion. Other highlighted startups include Fervo Energy, backed by Bill Gates’ Breakthrough Energy Catalyst for geothermal projects; German nuclear fuel startup Proxima Fusion; delivery robot company Coco Robotics
energygeothermal-energyfusion-energyroboticsdelivery-robotsAI-integrationstartup-fundingUK inventor's Transformers-styled robot becomes shape-shifting vehicle
British inventor James Bruton has created a functional, rideable Transformer-style robot that can smoothly shift between humanoid and vehicle forms. Unlike many previous Transformer replicas that lack passenger space, Bruton's design allows him to ride the robot like a kid’s Power Wheels car. The robot incorporates 16 motors—including RC servos, Dynamixel servos, and DC brushed motors—and uses a Teensy microcontroller to control folding body panels, wheel movement, and LED lighting. Its legs are primarily decorative, and the robot folds into a fully operational electric vehicle capable of carrying Bruton at modest speeds. Bruton’s invention showcases practical engineering with a focus on stability, reliability, and refined aesthetics. The robot’s lightweight aluminum extrusion frame supports significant weight while maintaining nimbleness, and 3D printing has enabled rapid design iteration. To address challenges like shifting center of gravity during transformation, Bruton implemented a robust suspension system and balanced weight distribution. While the robot cannot yet walk in humanoid form, it represents
robotroboticselectric-motors3D-printingmicrocontrollershape-shifting-vehicleengineering-innovationBoston Dynamics robots dance to ‘Don’t Stop Me Now’ for ‘America’s Got Talent’ audition
A dance crew of four-legged robots from Boston Dynamics performed a synchronized routine to Queen’s “Don’t Stop Me Now” on “America’s Got Talent,” earning four “yes” votes from the judges despite one robot shutting down mid-performance. Judge Simon Cowell remarked that the malfunction actually highlighted the difficulty of the routine, providing a more authentic view of the technology’s challenges. This moment contrasted with Boston Dynamics’ previous efforts to present their robots as flawless, showcasing instead the complexity and limits of robotic engineering. Boston Dynamics has historically been secretive about their robots’ failures, but recent openness about mishaps—such as their Atlas robots falling during parkour—reflects the reality of pushing robotic capabilities to the edge. The imperfect performance on national television may ultimately be more memorable and insightful than a flawless but less relatable display, emphasizing both the progress and ongoing challenges in robotics development.
robotsBoston-Dynamicsroboticsrobot-performancerobot-dancerobot-technologyrobot-failurePreparing for kick-off at RoboCup2025: an interview with General Chair Marco Simões - Robohub
RoboCup 2025 is set to take place in Salvador, Brazil, from July 15-21, marking a significant event for the international robotics and AI community. The event, hosted at the Salvador Convention Center, is expected to attract around 150,000 visitors, surpassing the 100,000 attendees from the last time Brazil hosted in 2014. Organizers anticipate participation from 300-400 teams and approximately 3,000 competitors. Efforts have been made to facilitate visa processes to increase international attendance, especially from teams previously hindered by travel restrictions. New global league partners, including Chinese companies Unitree, Fourier, and Booster Robotics, will showcase advanced humanoid and four-legged robots, enhancing the competition and public exhibitions. Over the past decade, Brazil has seen substantial growth in its RoboCup community, rising to become one of the top countries in terms of team participation. This growth is largely attributed to the development of RoboCupJunior, a program aimed at engaging younger
robotroboticsRoboCupAIautomationhumanoid-robotsrobotics-competitionRobot Talk Episode 125 – Chatting with robots, with Gabriel Skantze - Robohub
In episode 125 of the Robot Talk podcast, Claire interviews Gabriel Skantze, a Professor of Speech Communication and Technology at KTH Royal Institute of Technology. Skantze specializes in conversational AI and human-robot interaction, focusing on creating natural face-to-face conversations between humans and robots. His research integrates both verbal and non-verbal communication elements, such as prosody, turn-taking, feedback, and joint attention, to improve the fluidity and naturalness of spoken interactions with robots. Skantze also co-founded Furhat Robotics in 2014, where he continues to contribute as Chief Scientist. Furhat Robotics develops social robots designed to engage in human-like conversations, leveraging Skantze’s expertise in computational models of spoken interaction. The episode highlights ongoing advancements in conversational systems and the challenges involved in making robot communication more natural and effective, emphasizing the importance of combining multiple communication cues to enhance human-robot interaction.
robotroboticsconversational-AIhuman-robot-interactionspeech-communicationautonomous-machinesFurhat-RoboticsTesla sues ex-engineer for stealing Optimus robot’s trade secrets
Tesla has filed a lawsuit against former engineer Zhongjie “Jay” Li, accusing him of stealing proprietary technology from its Optimus humanoid robot program to launch a rival startup, Proception. The complaint alleges that Li downloaded confidential information related to Tesla’s advanced robotic hand sensors onto personal devices before leaving the company in September 2024. Tesla claims that Proception, backed by Y Combinator, used this stolen data to rapidly develop humanoid robotic hands that closely resemble Tesla’s designs, achieving in months what Tesla took years and billions of dollars to build. The lawsuit also highlights suspicious behavior by Li, including researching humanoid robotic hands and seeking startup funding while still employed at Tesla. This legal action comes amid ongoing challenges for Tesla’s Optimus project, which was initially announced in 2021 with plans for a 2023 rollout but has since faced delays, pushing the expected sales date to 2026. Public demonstrations have shown limited autonomous functionality, with many robots remotely controlled by humans. Despite
roboticshumanoid-robotsTesla-Optimustrade-secretsrobotic-hand-sensorsAI-roboticsstartup-litigationOMRON gives insight into new dedicated robotics organization - The Robot Report
OMRON Corporation has established a dedicated global robotics organization as of April 1, reflecting its strategic commitment to robotics as a core pillar of its end-to-end automation systems. This new unit will operate alongside OMRON’s existing automation business, allowing both to complement and reinforce each other. The initiative aims to enhance customer success through faster decision-making, world-class technical support, and strengthened specialized expertise, particularly across Europe. Investments include Automation and Robotics Centers of Excellence in France, Spain, and Germany, as well as a network of proof-of-concept labs to foster local innovation. The European robotics team comprises dedicated sales, application, and service engineers working closely with the global organization to provide targeted technical expertise and quicker responses to evolving customer needs. Justin King, OMRON’s vice president of product management, marketing, and business development for Robotics and Safety Technologies, explained that the creation of this specialized organization was driven by the desire to better serve customers by integrating product development, manufacturing, sales, and support functions
roboticsautomationOMRONindustrial-robotsrobotics-organizationrobotics-innovationautomation-systemsMotional names Major president, CEO of self-driving car business
Laura Major was appointed president and CEO of Motional, a leading autonomous vehicle company, in June 2025 after serving as interim CEO since September 2024. She succeeded Karl Iagnemma, who left to lead Vecna Robotics. Major has been with Motional since its founding in 2020, initially as CTO, where she spearheaded the development of the IONIQ 5 robotaxi, one of the first autonomous vehicles certified by the Federal Motor Vehicle Safety Standards, and created a machine learning-first autonomous driving software stack. Her leadership emphasizes leveraging AI breakthroughs and partnership with Hyundai to advance safe, fully driverless transportation as a practical part of everyday life. Before Motional, Major built expertise in autonomy and AI at Draper Laboratory and Aria Insights, focusing on astronaut, national security, and drone applications. She began her career as a cognitive engineer designing decision-support systems for astronauts and soldiers and later led Draper’s Information and Cognition Division. Recognized as an emerging leader by
robotautonomous-vehiclesAImachine-learningroboticsself-driving-carsautomationJapan's Robot City!
Toyota is developing an ambitious new city-campus designed to integrate living and working spaces into a single, high-tech environment. This futuristic project aims to foster seamless collaboration and innovation by leveraging advanced technologies such as robots, autonomous vehicles, and smart infrastructure. The city is envisioned as a fully integrated community where workers and their families can live and work, creating a unique corporate enclave that blurs the line between home and office. While the project is promoted as a bold vision for the future of urban living and innovation, it also raises critical questions about its implications for work-life balance. Critics wonder whether this "robot city" represents a utopian model of progress or a corporate strategy to keep employees tethered to their jobs around the clock. The development highlights broader debates about the future of cities and the evolving relationship between technology, work, and personal life.
robotautonomous-vehiclessmart-infrastructureinnovation-hubToyotafuturistic-cityroboticsRobot dogs set America's Got Talent stage on fire with dance moves
Boston Dynamics’ Spot robot dogs delivered a captivating performance on the June 10, 2025, episode of America’s Got Talent, dancing in sync to Queen’s “Don’t Stop Me Now.” Five yellow, four-legged robots executed a 90-second choreographed routine, impressing all four judges who unanimously voted to advance the act. During the performance, one robot fell but quickly recovered, showcasing the machine’s resilience and real-time autonomous navigation capabilities. Judges praised the act for its uniqueness and the demonstration of the robots’ fault tolerance, highlighting the blend of engineering and entertainment. Spot is Boston Dynamics’ only commercially available robot, costing around $75,000 each, with over 1,500 units deployed globally. Its legged design enables it to navigate challenging terrains like stairs and rubble, making it valuable for industrial inspections, gas leak detection, and even law enforcement trials. Beyond practical uses, Spot has appeared in artistic projects, television shows, and public events, illustrating its versatility. The AG
robotBoston-DynamicsSpot-robotroboticsrobot-dogsrobot-dancerobotic-inspectionNEXCOM NexCOBOT unit joins NVIDIA Halos AI Systems Inspection Lab - The Robot Report
NEXCOM Group’s NexCOBOT unit has joined NVIDIA’s Halos AI Systems Inspection Lab to collaboratively advance the safe development of humanoid and AI robots. This partnership aims to streamline the complex and resource-intensive process of achieving functional safety certifications for robotic systems. NexCOBOT, specializing in safe robot controls and based in New Taipei City with offices in Fremont, California, will integrate its products with NVIDIA’s IGX Thor platform and the expanded Halos platform. This integration is designed to create a unified development environment that encompasses AI, motion control, and functional safety, thereby accelerating innovation and simplifying robot design verification and certification processes. NVIDIA’s Halos AI Systems Inspection Lab is notable as the first ANSI National Accreditation Board (ANAB)-accredited lab that combines functional safety, cybersecurity, AI, and regulatory compliance into a single safety framework. NexCOBOT’s participation reflects its long-standing commitment to functional safety, leveraging international standards such as IEC 61508 and ISO 13849-1 to help
robotAIfunctional-safetyroboticsNVIDIAmotion-controlhumanoid-robotsNHS plans to cut waitlist times by expanding access to robotic surgeries - The Robot Report
The NHS of England has announced ambitious plans to significantly expand the use of robotic surgery over the next decade to reduce waiting times and improve patient outcomes. By 2035, the NHS aims to perform half a million robotic operations annually, a substantial increase from 70,000 in 2023-2024. Robotic surgery, particularly in keyhole procedures, is expected to become the default approach for 90% of such surgeries, up from 20% today. This expansion is part of the NHS’s broader commitment to shorten elective waiting times by 2029, leveraging advanced technology to increase surgical capacity, enhance precision, and promote faster patient recovery with shorter hospital stays. Robotic surgery offers several advantages over traditional methods, including greater dexterity for surgeons and less physical strain, as surgeons operate instruments via a console with 3D visualization. The technology has broadened beyond its initial focus on urological cancer surgeries to include colorectal, gynecological, ENT, and orthopedic procedures. Some robotic systems
roboticsrobotic-surgeryNHShealthcare-technologymedical-robotssurgical-robotskeyhole-surgeryMeta V-JEPA 2 world model uses raw video to train robots
Meta has introduced V-JEPA 2, a 1.2-billion-parameter world model designed to enhance robotic understanding, prediction, and planning by training primarily on raw video data. Built on the Joint Embedding Predictive Architecture (JEPA), V-JEPA 2 undergoes a two-stage training process: first, self-supervised learning from over one million hours of video and a million images to capture physical interaction patterns; second, action-conditioned learning using about 62 hours of robot control data to incorporate agent actions for outcome prediction. This approach enables the model to support planning and closed-loop control in robots without requiring extensive domain-specific training or human annotations. In practical tests within Meta’s labs, V-JEPA 2 demonstrated strong performance on common robotic tasks such as pick-and-place, achieving success rates between 65% and 80% in previously unseen environments. The model uses vision-based goal representations, generating candidate actions for simpler tasks and employing sequences of visual subgoals for more complex tasks
roboticsAIworld-modelsmachine-learningvision-based-controlrobotic-manipulationself-supervised-learningSensitive skin to help robots detect information about surroundings
Researchers from the University of Cambridge and University College London have developed a highly sensitive, low-cost, and durable robotic skin that can detect various types of touch and environmental information similarly to human skin. This flexible, conductive skin is made from a gelatine-based hydrogel that can be molded into complex shapes, such as a glove for robotic hands. Unlike traditional robotic touch sensors that require multiple sensor types for different stimuli, this new skin acts as a single sensor capable of multi-modal sensing, detecting taps, temperature changes, cuts, and multiple simultaneous touches through over 860,000 tiny conductive pathways. The team employed a combination of physical testing and machine learning to interpret signals from just 32 electrodes placed at the wrist, enabling the robotic skin to process more than 1.7 million data points across the hand. Tests included exposure to heat, gentle and firm touches, and even cutting, with the collected data used to train the system to recognize different types of contact efficiently. While not as sensitive as human skin
roboticsrobotic-skinsensorsflexible-materialsconductive-hydrogelmulti-modal-sensinghuman-robot-interactionWandercraft raises $75M to scale exoskeletons, humanoids
Wandercraft, a French robotics company, has secured $75 million in Series D funding to advance the commercialization and scaling of its innovative exoskeleton and humanoid robot technologies. The funding will support the launch of Eve, a self-balancing personal exoskeleton designed to provide upright motion and walking independence for individuals with severe mobility impairments, with commercialization targeted as early as 2026. Additionally, Wandercraft aims to expand clinical adoption of its rehabilitation system Atalante X and develop Calvin-40, an industrial-grade humanoid robot intended for physically demanding tasks. The company’s technology leverages AI refined through extensive simulations and real-world use, enhancing natural walking motion and mobility for users. Wandercraft is conducting clinical trials for Eve at the James J. Peters VA Medical Center in New York and will soon start another at the Kessler Institute for Rehabilitation in New Jersey, focusing on safety and effectiveness for spinal cord injury patients. A notable milestone was achieved when Kevin Piette
roboticsexoskeletonhumanoid-robotsAI-powered-roboticsrehabilitation-technologymobility-aidsindustrial-robotsMeta’s new AI helps robots learn real-world logic from raw video
Meta has introduced V-JEPA 2, an advanced AI model trained solely on raw video data to help robots and AI agents better understand and predict physical interactions in the real world. Unlike traditional AI systems that rely on large labeled datasets, V-JEPA 2 operates in a simplified latent space, enabling faster and more adaptable simulations of physical reality. The model learns cause-and-effect relationships such as gravity, motion, and object permanence by analyzing how people and objects interact in videos, allowing it to generalize across diverse contexts without extensive annotations. Meta views this development as a significant step toward artificial general intelligence (AGI), aiming to create AI systems capable of thinking before acting. In practical applications, Meta has tested V-JEPA 2 on lab-based robots, which successfully performed tasks like picking up unfamiliar objects and navigating new environments, demonstrating improved adaptability in unpredictable real-world settings. The company envisions broad use cases for autonomous machines—including delivery robots and self-driving cars—that require quick interpretation of physical surroundings and real
roboticsartificial-intelligencemachine-learningautonomous-robotsvideo-based-learningphysical-world-simulationAI-modelsMeta’s V-JEPA 2 model teaches AI to understand its surroundings
Meta has introduced V-JEPA 2, a new AI "world model" designed to help artificial intelligence agents better understand and predict their surroundings. This model enables AI to make common-sense inferences about physical interactions in the environment, similar to how young children or animals learn through experience. For example, V-JEPA 2 can anticipate the next likely action in a scenario where a robot holding a plate and spatula approaches a stove with cooked eggs, predicting the robot will use the spatula to move the eggs onto the plate. Meta claims that V-JEPA 2 operates 30 times faster than comparable models like Nvidia’s, marking a significant advancement in AI efficiency. The company envisions that such world models will revolutionize robotics by enabling AI agents to assist with real-world physical tasks and chores without requiring massive amounts of robotic training data. This development points toward a future where AI can interact more intuitively and effectively with the physical world, enhancing automation and robotics capabilities.
robotartificial-intelligenceAI-modelroboticsmachine-learningautomationAI-agentsNVIDIA Isaac, Omniverse, and Halos to aid European robotics developers - The Robot Report
At the GPU Technology Conference (GTC) in Paris, NVIDIA announced new AI-driven tools and platforms aimed at advancing robotics development, particularly for European manufacturers facing labor shortages and sustainability demands. Central to this initiative is NVIDIA Isaac GR00T N1.5, an open foundation model designed to enhance humanoid robot reasoning and skills, now available on Hugging Face. Alongside this, the company released Isaac Sim 5.0 and Isaac Lab 2.2, open-source robotics simulation frameworks optimized for NVIDIA RTX PRO 6000 systems, enabling developers to better train, simulate, and deploy robots across various applications. NVIDIA’s approach for the European robotics ecosystem revolves around a “three-computer” strategy: DGX systems and GPUs for AI model training, Omniverse and Cosmos platforms on OVX systems for simulation and synthetic data generation, and the DRIVE AGX in-vehicle computer for real-time autonomous driving processing. This scalable architecture supports diverse robotic forms, from industrial robots to humanoids. Several European robotics companies are actively integrating NVIDIA’s stack—Agile Robots uses Isaac Lab to train dual-arm manipulators, idealworks extends Omniverse Blueprints for humanoid fleet simulation, Neura Robotics collaborates with SAP to refine robot behavior in complex scenarios, Vorwerk enhances home robotics models with synthetic data pipelines, and Humanoid leverages the full NVIDIA stack to significantly reduce prototyping time and improve robot cognition. Overall, NVIDIA’s new tools and collaborative ecosystem aim to accelerate the development and deployment of smarter, safer robots in Europe, addressing critical challenges such as labor gaps and the need for sustainable manufacturing and automation solutions.
roboticsartificial-intelligenceNVIDIA-Isaacrobot-simulationautonomous-robotsindustrial-robotsAI-driven-manufacturingHow Do Robots See?
The article "How Do Robots See?" explores the mechanisms behind robotic vision beyond the simple use of cameras as eyes. It delves into how robots process visual information to understand their environment, including determining the size of objects and recognizing different items. This involves advanced technologies and algorithms that enable robots to interpret visual data in a meaningful way. Boston Dynamics is highlighted as an example, demonstrating how their robots utilize these vision systems to navigate and interact with the world. The article emphasizes that robotic vision is not just about capturing images but involves complex processing to enable perception and decision-making. However, the content provided is incomplete and lacks detailed explanations of the specific technologies or methods used.
roboticscomputer-visionBoston-Dynamicsrobot-sensingmachine-perceptionartificial-intelligencerobotics-technologyNew 'claw machine' robot speeds up embryo model research
Researchers at the University of Washington and the Brotman Baty Institute have developed a novel automated robot, inspired by a "claw machine" design, to sort stem cell-derived embryo models called gastruloids. Gastruloids mimic the third week of human embryonic development, a critical phase when the body's three primary germ layers form. This new system enables scientists to efficiently isolate and study hundreds of gastruloids simultaneously, overcoming previous challenges of manual sorting that were time-consuming and prone to human error. The robot uses a combination of a microscope, digital camera, sliding stage, and microraft manipulation tools to precisely select individual gastruloids grown on tiny platforms. This automation not only speeds up research but also allows for more detailed investigation into the subtle variations between gastruloids, which can reveal insights into genetic drift, epigenetic influences, and developmental heterogeneity. Importantly, the technology facilitates studies on genetic disorders such as aneuploidy—abnormal chromosome numbers—by enabling analysis of how gastruloids with varying aneuploid cell proportions self-correct, shedding light on embryonic robustness. By providing a scalable, ethical, and precise platform for studying early human development, this innovation promises to accelerate advances in developmental biology, disease modeling, and regenerative medicine. The findings were published in APL Bioengineering.
roboticsautomationstem-cell-researchbiomedical-engineeringembryo-modelinglaboratory-roboticscell-sorting-technologyMIT teaches drones to survive nature’s worst, from wind to rain
MIT researchers have developed a novel machine-learning-based adaptive control algorithm to improve the resilience of autonomous drones against unpredictable weather conditions such as sudden wind gusts. Unlike traditional aircraft, drones are more vulnerable to being pushed off course due to their smaller size, which poses challenges for critical applications like emergency response and deliveries. The new algorithm uses meta-learning to quickly adapt to varying weather by automatically selecting the most suitable optimization method based on real-time environmental disturbances. This approach enables the drone to achieve up to 50% less trajectory tracking error compared to baseline methods, even under wind conditions not encountered during training. The control system leverages a family of optimization algorithms known as mirror descent, automating the choice of the best algorithm for the current problem, which enhances the drone’s ability to adjust thrust dynamically to counteract wind effects. The researchers demonstrated the effectiveness of their method through simulations and real-world tests, showing significant improvements in flight stability. Ongoing work aims to extend the system’s capabilities to handle multiple disturbance sources, such as shifting payloads, and to incorporate continual learning so the drone can adapt to new challenges without needing retraining. This advancement promises to enhance the efficiency and reliability of autonomous drones in complex, real-world environments.
dronesautonomous-systemsmachine-learningadaptive-controlroboticsartificial-intelligencemeta-learningRoboBusiness 2025 call for speakers ends June 12
WTWH Media, the producer of The Robot Report and the Robotics Summit & Expo, has announced a call for speakers for RoboBusiness 2025, scheduled for October 15-16 in Santa Clara, California. Founded in 2004, RoboBusiness focuses on robotics technology development, investments, and business challenges. For 2025, the event introduces new tracks including the Physical AI Forum, which explores robot learning from sensor data and adaptation, and Humanoids, which centers on humanoid robot design and early applications. The Field Robotics track has been expanded to cover best practices for outdoor robot deployment. Other tracks include Enabling Technologies, Design & Development, and Business, addressing topics from motion control and software advances to investment strategies and startup scaling. Speaker proposals are due by June 12, and selected speakers will receive complimentary full conference passes for themselves and up to two guests. RoboBusiness is also hosting the Pitchfire Robotics Startup Competition for investors and emerging startups. The event will be co-located with DeviceTalks West, a leading medical technology industry event that includes surgical robotics and attracts professionals from healthcare and medical technology sectors. For inquiries about speaking, sponsorship, or exhibition opportunities, contacts are provided within the announcement.
robotroboticshumanoid-robotsfield-roboticsAI-in-roboticsrobotics-conferencerobotics-startup-competitionChina's humanoid robot with full embodied AI works at auto factory
China has deployed AlphaBot2, a general-purpose humanoid robot with full embodied AI, in an automotive factory operated by Dongfeng Liuzhou Motor Co. Developed by Shenzhen-based AI² Robotics, AlphaBot2 performs diverse tasks such as quality inspection, assembly, logistics, and maintenance. This deployment marks the first full-scenario validation of a domestically developed embodied AI model in China’s automotive sector. The robot leverages real factory data to continuously improve its spatial intelligence and learning capabilities through a feedback loop with AI² Robotics’ self-developed embodied large model, enhancing its efficiency, precision, and adaptability in complex, evolving manufacturing environments. AlphaBot2 is powered by the advanced GOVLA AI model, a Vision-Language-Action system built on the AI²R Brain platform, enabling near-human dexterity and full-body coordination with over 34 degrees of freedom. It features 360° spatial sensing, autonomous navigation, and a vertical working range of up to 240 cm, with over six hours of battery life for extended operations. The robot’s flexible manipulation and rapid adaptation reduce deployment time and support mixed-model automotive production lines, demonstrating significant advancements in intelligent manufacturing and factory automation in China.
robothumanoid-robotembodied-AIintelligent-manufacturingfactory-automationroboticsAI-in-roboticsInterview with Amar Halilovic: Explainable AI for robotics - Robohub
Amar Halilovic, a PhD student at Ulm University in Germany, is conducting research on explainable AI (XAI) for robotics, focusing on how robots can generate explanations of their actions—particularly in navigation—that align with human preferences and expectations. His work involves developing frameworks for environmental explanations, especially in failure scenarios, using black-box and generative methods to produce textual and visual explanations. He also studies how to plan explanation attributes such as timing, representation, and duration, and is currently exploring dynamic selection of explanation strategies based on context and user preferences. Halilovic finds it particularly interesting how people interpret robot behavior differently depending on urgency or failure context, and how explanation expectations shift accordingly. Moving forward, he plans to extend his framework to enable real-time adaptation, allowing robots to learn from user feedback and adjust explanations on the fly. He also aims to conduct more user studies to validate the effectiveness of these explanations in real-world human-robot interaction settings. His motivation for studying explainable robot navigation stems from a broader interest in human-machine interaction and the importance of understandable AI for trust and usability. Before his PhD, Amar studied Electrical Engineering and Computer Science in Bosnia and Herzegovina and Sweden. Outside of research, he enjoys traveling and photography and values building a supportive network of mentors and peers for success in doctoral studies. His interdisciplinary approach combines symbolic planning and machine learning to create context-sensitive, explainable robot systems that adapt to diverse human needs.
roboticsexplainable-AIhuman-robot-interactionrobot-navigationAI-researchPhD-researchautonomous-robotsUK trials underwater robot to defend against undersea sabotage
The UK Royal Navy, in collaboration with the Defence Science and Technology Laboratory (DSTL) and industry partners such as Alford Technologies and Sonardyne, is testing an advanced underwater remotely operated vehicle (ROV) designed to protect critical undersea infrastructure like cables and pipelines. This robot can operate at depths beyond human diver reach and remain underwater for extended periods, enabling it to detect unexploded ordnance (UXO) and potential sabotage threats. Equipped with specialized navigation, sensors, and cameras, the ROV provides real-time video and sonar data to operators who can remotely neutralize hazards by deploying controlled explosive charges, thereby reducing risks to divers and vessels. The ROV’s capabilities offer significant operational advantages by enhancing safety and efficiency in clearing underwater threats, supporting extended missions in deep or hazardous waters. Its reusable design also delivers economic benefits through cost-effectiveness and industry collaboration, contributing to the UK’s defense and security landscape. Field trials have been conducted at multiple sites, including Portsmouth, South Wales, and Norway, demonstrating the robot’s performance and potential as a valuable tool for safeguarding vital marine infrastructure against sabotage or accidental damage.
underwater-robotroboticsdefense-technologyremote-operated-vehiclemarine-securityunexploded-ordnance-detectionundersea-infrastructure-protectionBeewise brings in $50M to expand access to its robotic BeeHome - The Robot Report
Beewise Inc., a climate technology company specializing in AI-powered robotic beekeeping, has closed a $50 million Series D funding round, bringing its total capital raised to nearly $170 million. The company developed the BeeHome system, which uses artificial intelligence, precision robotics, and solar power to provide autonomous, real-time care to bee hives. This innovation addresses the critical decline in bee populations—over 62% of U.S. colonies died last year—threatening global food security due to bees’ essential role in pollinating about three-quarters of flowering plants and one-third of food crops. BeeHome enables continuous hive health monitoring and remote intervention by beekeepers, resulting in healthier colonies, improved crop yields, and enhanced biodiversity. Since its 2022 Series C financing, Beewise has become a leading global provider of pollination services, deploying thousands of AI-driven robotic hives that pollinate over 300,000 acres annually for major growers. The company has advanced its AI capabilities using recurrent neural networks and reinforcement learning to mitigate climate risks in agriculture. The latest BeeHome 4 model features Beewise Heat Chamber Technology, which eliminates 99% of lethal Varroa mites without harmful chemicals. The new funding round, supported by investors including Fortissimo Capital and Insight Partners, will accelerate Beewise’s technological innovation, market expansion, and research efforts to further its mission of saving bees and securing the global food supply.
roboticsartificial-intelligenceautonomous-systemsenergyagriculture-technologymachine-learningclimate-technologyOxipital AI and Schmalz extend partnership for automated picking - The Robot Report
Oxipital AI and J. Schmalz GmbH have extended their partnership to integrate Oxipital AI’s advanced machine vision technology with Schmalz’s mGrip robotic fingers and vacuum end-of-arm tooling (EOAT). This collaboration aims to deliver next-generation robotic grasping solutions that improve operational efficiency, reduce labor dependence, and ensure consistent, safe, and profitable production, particularly in the food and beverage industry. Oxipital AI, originally founded as Soft Robotics, has shifted its focus from soft robotic grippers to AI-enabled machine vision systems, exemplified by its recent release of the VX2 Vision System designed for food-grade inspection and picking. Schmalz, a global leader in vacuum industrial automation and ergonomic material handling since 1910, benefits from this partnership by expanding the applicability of its tooling solutions to more complex manufacturing processes. The integration of Oxipital AI’s vision technology enhances Schmalz’s robotic grasping capabilities, enabling more capable and higher-performing picking solutions. Both companies emphasize their shared focus on robotic automation and digitalization, with Schmalz leveraging acquisitions and new technologies to strengthen its offerings in packaging, food, and pharmaceutical industries. The partnership was highlighted at the recent Automate event, signaling ongoing collaboration and innovation in automated picking systems.
roboticsartificial-intelligencemachine-visionrobotic-pickingautomationend-of-arm-toolingindustrial-roboticsXRobotics’ countertop robots are cooking up 25,000 pizzas a month
XRobotics, a San Francisco-based startup, has developed the xPizza Cube, a compact countertop robot designed to automate key pizza-making tasks such as applying sauce, cheese, and pepperoni. The machine, roughly the size of a stackable washing machine, can produce up to 100 pizzas per hour and is adaptable to various pizza styles, including Detroit and Chicago deep dish. Leasing at $1,300 per month over three years, the robot aims to save pizza makers 70-80% of the labor time involved in repetitive tasks, helping both small pizzerias and large chains improve efficiency without requiring a full overhaul of their kitchen processes. Unlike previous ventures like Zume, which attempted to fully automate pizza production and ultimately failed, XRobotics focuses on assistive technology that integrates into existing kitchens. After initial challenges with a larger, more complex robot, the company pivoted to a smaller, more affordable model launched in 2023, which has since produced 25,000 pizzas monthly. The startup recently raised $2.5 million in seed funding to scale production and expand its customer base. With plans to enter the Mexican and Canadian markets, XRobotics remains committed to the pizza industry, leveraging the large market size and the founders’ personal passion for pizza.
roboticsautomationfood-technologymachine-learningrestaurant-technologypizza-makingkitchen-roboticsHuman-like robot hands could soon rule factories with Nvidia tech
South Korean robotics firm Tesollo is advancing automation with its human-like robotic hands, aiming to replace manual labor across industries globally. The company recently joined Nvidia’s Inception Program, which provides startups with technical guidance, GPU optimization, business support, and global networking to accelerate innovation. Tesollo’s latest product, the DELTO Gripper 5-Finger (DG-5F), launched in March 2025, closely replicates the human hand’s structure with 20 independently controlled joints, enabling precise, complex movements and multiple grip modes such as pinch, power, and precision grips. The DG-5F also features optional high-precision fingertip sensors that provide force feedback and dynamic grip adjustments, making it suitable for tasks requiring delicate handling in environments designed for human workers. In addition to the DG-5F, Tesollo offers the DELTO Gripper 3-Finger (DG-3F), which boasts a modular design for easy maintenance and enhanced durability. Powered by a high-performance BLDC motor and equipped with high-strength steel gears, the DG-3F can withstand over 3 million operational cycles and deliver torque up to 2Nm. It supports multiple operational modes, including Parallel Mode for standard gripping and Smooth Mode for handling delicate objects, with features like target arrival recognition and post-grip position adjustment to improve precision. Both grippers are designed for diverse industrial applications, including automated assembly in smart factories and efficient object handling in logistics, positioning Tesollo’s technology as a significant step toward widespread robotic automation.
roboticsrobotic-handsNvidia-Inception-Programautomationhumanoid-robotsAI-in-roboticsindustrial-automationHeadless humanoid robot built in 40 days to work in Renault factory
Wandercraft, a Paris-based company known for its exoskeleton technology, has developed a headless humanoid robot named Calvin in just 40 days. This voice-controlled, self-balancing robot is designed to perform tough, painful, and non-ergonomic manufacturing tasks, aiming to relieve Renault Group’s workers from such duties while enhancing productivity by reducing production time. Calvin represents Wandercraft’s first industrial humanoid robot and incorporates adaptable hands capable of switching between various end effectors like suction cups and grippers, allowing it to meet diverse operational needs. Beyond industrial applications, Calvin also holds potential for medical care uses. Renault Group has made a strategic investment in Wandercraft, forming a commercial partnership to develop Calvin and future next-generation robots primarily for industrial purposes. This collaboration leverages Renault’s industrial expertise, particularly in design-to-cost and scaling, to industrialize robots and exoskeletons, thereby reducing costs and accelerating automation. Renault’s Chief Industry and Quality Officer, Thierry Charvet, emphasized that the partnership will enable workers to focus on higher-value tasks while improving overall factory productivity. Wandercraft’s CEO Matthieu Masselin highlighted the broader vision of combining robotics and exoskeleton technology to improve lives both in industrial settings and beyond, including clinics and homes.
roboticshumanoid-robotindustrial-automationexoskeleton-technologymanufacturing-roboticsRenault-Groupvoice-controlled-robotHEBI Robotics gets SBIR grant to develop hardware for hazardous environments - The Robot Report
HEBI Robotics, a Pittsburgh-based company specializing in modular robotic systems, has received a $250,000 Small Business Innovation Research (SBIR) grant from the U.S. Army to develop hardware capable of operating safely in hazardous environments containing flammable vapors or fluids. The company aims to create modular building blocks that simplify and reduce the cost of producing robots certified to meet NEC Class I, Division 1 safety standards, which are required for workspaces with explosive or volatile materials. This development will enable robots to perform critical military and industrial tasks such as handling energetics, fuel-tank inspection, and repair, thereby enhancing safety by reducing human exposure to dangerous conditions. HEBI Robotics’ modular approach, described as “Lego-like,” allows for rapid and reliable customization of robots for various challenging environments, including wet, dirty, and underwater settings. The company’s platform is already used in diverse industries and has earned recognition such as the 2025 RBR50 Robotics Innovation Award. The SBIR-funded project marks a significant step toward creating rugged, certified robotic hardware for hazardous environments, with collaboration planned alongside military stakeholders to ensure compliance and performance. This Phase I award could lead to further funding and full-scale production if successful, supporting the U.S. government’s goal to foster innovation and commercialization through small business research initiatives.
roboticsmodular-robotshazardous-environmentsindustrial-automationSBIR-grantmilitary-applicationsrobotic-hardwareChina's AI lab unveils RoboBrain 2.0 model for next-gen humanoid robots
China’s Beijing Academy of Artificial Intelligence (BAAI) has unveiled RoboBrain 2.0, a new open-source AI model designed to serve as the “brain” for next-generation humanoid robots. This model introduces significant advancements in spatial intelligence and task planning, enabling robots to perceive distances more accurately and break down complex tasks into simpler steps. Compared to its predecessor released just three months earlier, RoboBrain 2.0 delivers a 17% increase in processing speed and a 74% improvement in accuracy. The model is part of BAAI’s broader Wujie series, which also includes RoboOS 2.0, a cloud platform for deploying robotics AI, and Emu3, a multimodal system for interpreting and generating text, images, and video. BAAI’s initiative is a key component of China’s ambition to become a global leader in robotics AI. The institute collaborates with over 20 leading companies and seeks to expand partnerships to accelerate innovation in embodied intelligence. Alongside BAAI, other Chinese institutions like the Beijing Humanoid Robot Innovation Centre are advancing the field, exemplified by their development of the Tien Kung humanoid robot and the Hui Si Kai Wu AI platform, which aspires to become the “Android of humanoid robots.” The recent BAAI Conference attracted over 100 international AI researchers and 200 industry experts, highlighting strong engagement from major Chinese tech firms such as Baidu, Huawei, and Tencent. Additionally, BAAI announced a strategic partnership with the Hong Kong Investment Corporation to foster talent development, technological progress, and investment in China’s AI ecosystem.
roboticshumanoid-robotsartificial-intelligenceRoboBrain-2.0spatial-intelligencetask-planningrobotics-AI-modelsWeek in Review: Why Anthropic cut access to Windsurf
The article "Week in Review: Why Anthropic cut access to Windsurf" covers several key developments in the AI and tech sectors over the past week. Central to the discussion is Anthropic’s decision to cut access to its AI model Claude for Windsurf, explained by Anthropic’s Chief Science Officer Jared Kaplan. He stated that it would be unusual for Anthropic to sell Claude to OpenAI, its largest competitor, especially as OpenAI is acquiring the AI coding assistant Windsurf. This competitive dynamic is the primary reason for the access cut. Beyond this, the article highlights other notable tech news: DeepSeek, a Chinese lab, released an updated AI model R1 that performs well on math and coding benchmarks, with speculation it may be related to Google’s Gemini AI family. Apple’s WWDC 2025 is set to start soon, promising new features including a redesigned interface, a dedicated gaming app, and updates to Mac, Watch, and TV platforms. ChatGPT is expanding its business utility by integrating connectors to popular cloud storage services like Dropbox and Google Drive, enabling it to access user data across platforms for improved responses. Additional updates include the wipeout of data from an Indian grocery delivery startup with a sizable customer base, Google’s image editing app arriving on its operating system with advanced features, Tesla’s renewed trademark efforts for “Tesla Robotaxi,” and Anduril’s significant $2.5 billion funding round doubling its valuation to $30.5 billion. The article also touches on Toma’s AI phone agents helping car dealerships reduce missed calls, and a public spat between Elon Musk and Donald Trump that could have wider implications for the tech industry. Overall, the piece provides a broad overview of recent tech and AI industry news with a focus on competitive strategy, product updates, and funding milestones.
robotTesla-RobotaxiAIautonomous-vehiclesroboticstrademarktechnology-innovationWandercraft unveils Calvin, new industrial humanoid, and Renault partnership - The Robot Report
Wandercraft, a French robotics company founded in 2012 with a mission to aid people with severe mobility impairments, has unveiled its first humanoid robot named Calvin. Developed in just 40 days using technology from its exoskeleton products, Calvin is designed primarily for industrial applications. This launch coincides with Renault Group’s minority investment in Wandercraft, aimed at advancing Calvin as a next-generation industrial robot to alleviate workers from physically demanding tasks, improve ergonomics, and boost productivity. Renault will also support commercialization efforts by leveraging its expertise in cost reduction and scaling, facilitating broader market access for Wandercraft’s robotics, including its new exoskeleton, Eve. Wandercraft’s flagship product, the Atalante X exoskeleton, is a self-stabilizing device used in nearly 100 rehabilitation centers worldwide, enabling patients with spinal cord injuries and stroke to walk and relearn natural motion. It features ActiveBalance mode and 12 degrees of freedom for hips, knees, and ankles, offering benefits for both patients and therapists. The device has FDA clearance and CE marking for various conditions. Building on this success, Wandercraft recently introduced a Personal Exoskeleton prototype designed for everyday use in home and community settings, currently undergoing clinical trials. This system also features a fully powered lower body and dynamic walking control, aiming to enhance personal mobility outside clinical environments.
roboticshumanoid-robotexoskeletonindustrial-automationmobility-assistancerehabilitation-technologyRenault-partnershipSaildrone, Meta complete robotic deep-water cable route survey - The Robot Report
Saildrone Inc., in partnership with Meta, successfully completed a 26-day autonomous deep-water cable route survey in the North Atlantic using the Saildrone Surveyor, a 20-meter uncrewed surface vehicle (USV). The Surveyor mapped over 4,500 km of seabed, including complex topographies, without requiring port calls or external assistance. Equipped with advanced sensors such as the Kongsberg EM304 MKII multibeam sonar and powered by AI algorithms, the USV demonstrated data quality and operational performance comparable to traditional crewed survey vessels. Key metrics like route fidelity, line keeping, data transmission, and depth accuracy met or exceeded expectations, proving autonomous ocean mapping is both feasible and highly effective. The mission emphasized minimizing health, safety, and environmental risks by enabling remote operations, allowing hydrographic surveyors and engineers to work from shore-based offices rather than offshore, thus reducing physical and mental strain. Environmentally, the Surveyor avoided approximately 243 tons of CO₂ emissions—over 50 times less than conventional vessels—highlighting the sustainability benefits of uncrewed systems. This successful demonstration not only supports Meta’s growing subsea cable infrastructure needs but also signals broader potential for USVs in subsea telecommunications, offshore energy, and national hydrographic programs, with future efforts aimed at expanding operational capabilities.
roboticsautonomous-vehiclesunderwater-mappinguncrewed-surface-vehicleAI-sensorssubsea-cable-surveymaritime-technology432 robots move 7,500-ton building in China to make way for construction
The 100-year-old Huayanli complex in Shanghai, a 7,382-ton traditional shikumen-style building set covering 13,222 square feet, is being temporarily relocated about 10 meters per day using 432 small walking robots. This unprecedented engineering project aims to clear space for constructing a three-story underground facility beneath the complex, which will house 173,885 square feet of cultural and commercial zones, a parking garage with over 100 spaces, and a transport hub connecting Metro Lines 2, 12, and 13. The dense, historic Zhangyuan area, featuring narrow alleys and tightly packed buildings, necessitated innovative robotic solutions, including drilling and earth-moving robots capable of operating in confined spaces as narrow as 1.2 meters. Advanced technologies such as AI-driven deep learning, building information modeling (BIM), and point cloud scanning were employed to create detailed 3D models of the site, enabling precise planning of movement routes and soil removal paths. A factory-line-style conveyor belt system was implemented to efficiently remove soil with minimal disruption. Once the underground construction is complete, the Huayanli complex will be returned to its original location, integrating preserved historical architecture with modern underground infrastructure, thereby revitalizing the Zhangyuan area while maintaining its cultural heritage.
robotsroboticsconstruction-technologyAIcivil-engineeringbuilding-relocationautomationIs Amazon On Verge Of Replacing Delivery People With Humanoid Robots? - CleanTechnica
Amazon is reportedly developing humanoid robots designed to replace human delivery personnel. The company has established a “humanoid park,” roughly the size of a coffee shop, where these robots are tested on navigating obstacles and performing delivery tasks. Amazon is creating the AI software in-house while outsourcing the robot hardware to an external company. The goal is for these robots to autonomously exit delivery vans and bring packages directly to customers’ doors, potentially increasing delivery efficiency by allowing simultaneous deliveries by robots and human drivers. While the exact development stage and challenges remain unclear, the deployment of such robots could significantly impact human delivery jobs. Amazon’s interest in automation extends to self-driving vehicles through its Zoox unit, indicating a broader strategy to integrate robotics and AI into logistics. Although robots require electricity and recharging, unlike humans, they could operate continuously, offering 24/7 delivery capabilities. This advancement signals a shift toward more automated delivery systems, raising questions about job security for current delivery workers and the future landscape of last-mile logistics.
roboticshumanoid-robotsAmazondelivery-automationAI-softwareelectric-energy-consumptionautonomous-deliveryFigure AI CEO skips live demo, sidesteps BMW deal questions onstage at tech conference
Brett Adcock, CEO of humanoid robotics startup Figure AI, appeared at the Bloomberg Tech conference amid scrutiny over the company’s progress with BMW, a marquee customer. Adcock avoided providing specifics about the nature or commercial value of the BMW contract, instead emphasizing the technical insights gained from deploying robots on factory floors. Figure AI had previously released videos showing its robots operating in a BMW factory but has not conducted any live demonstrations, citing a company philosophy against attending many events and preferring to showcase via videos. Adcock also revealed that Figure AI has signed a contract with a second, unnamed customer—reported by Bloomberg to be UPS—for initial deployment. Despite the skepticism surrounding Figure AI’s commercial relationships, the company claims its AI-powered robots have human-like fine motor skills and precise object manipulation capabilities. Adcock confirmed plans to manufacture and deploy approximately 100,000 robot units within four years. The company is currently attempting to raise $1.5 billion at a valuation reportedly fifteen times higher than its February 2024 valuation. Additionally, Figure AI has taken steps to restrict unauthorized secondary market trading of its shares, signaling efforts to control its stock distribution amid this fundraising phase.
roboticshumanoid-robotsAI-roboticsfactory-automationindustrial-robotsrobot-deploymentrobotics-startupsmaxon releases ESCON2 servo controllers
Maxon has launched the ESCON2 series of servo controllers, designed to deliver enhanced smoothness, dynamics, and precision in various machines and devices. This new line leverages an innovative Hall sensor-based speed control method combined with field-oriented control (FOC) commutation to improve performance, even for BLDC motors without encoders. The ESCON2 controllers range from the compact ESCON2 Nano 24/2 to the more powerful ESCON2 Compact 60/30, supporting voltages up to 60V and currents up to 30A. These controllers are suitable for a wide array of applications including industrial, robotics, medical, and analytical fields, and offer flexible integration options such as plug-in modules, ready-to-connect compact designs, or housed units. The ESCON2 series is notable for its high control rates—10 kHz for speed and 50 kHz for current—and its ability to maintain precise motor currents, torques, and speeds with high energy efficiency, even under continuous operation. The controllers use advanced algorithms and overload-resistant power stages to enable rapid accelerations and accurate motion profiles, resulting in faster machine cycles and improved product quality. A key innovation is the patent-pending method that analyzes Hall sensor switching edges to create virtual sensor information, allowing smooth and stable speed control comparable to encoder-based systems, but without the added cost and wiring complexity of encoders. Additionally, the ESCON2 offers versatile command and monitoring interfaces, including analog/digital I/Os, USB, RS232, and CAN with CANopen CiA402 protocol support. It supports multiple control modes such as Profile Velocity Mode, Cyclic Synchronous Velocity, and Torque modes, alongside maxon-specific modes that combine analog and digital input control. These features enable precise commanding, process monitoring, IoT integration, and predictive maintenance, making ESCON2 a highly adaptable and efficient solution for modern servo control needs.
roboticsservo-controllersmotor-controlBLDC-motorsfield-oriented-controlCANopenindustrial-automationCongratulations to the #ICRA2025 best paper award winners - Robohub
The 2025 IEEE International Conference on Robotics and Automation (ICRA), held from May 19-23 in Atlanta, USA, announced its best paper award winners and finalists across multiple categories. The awards recognized outstanding research contributions in areas such as robot learning, field and service robotics, human-robot interaction, mechanisms and design, planning and control, and robot perception. Each category featured a winning paper along with several finalists, highlighting cutting-edge advancements in robotics. Notable winners include "Robo-DM: Data Management for Large Robot Datasets" by Kaiyuan Chen et al. for robot learning, "PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-Rich Manipulation Using Tactile-Diffusion Policies" by Jialiang Zhao et al. for field and service robotics, and "Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition" by Shengchent Luo et al. for human-robot interaction. Other winning papers addressed topics such as soft robot worm behaviors, robust sequential task solving via dynamically composed gradient descent, and metrics-aware covariance for stereo visual odometry. The finalists presented innovative work ranging from drone detection to adaptive navigation and assistive robotics, reflecting the broad scope and rapid progress in the robotics field showcased at ICRA 2025.
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energyAIsemiconductoracquisitionefficiencyroboticstechnologyRobot Talk Episode 124 – Robots in the performing arts, with Amy LaViers - Robohub
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robotindustrial-automationhumanoid-robotautonomous-systemsroboticsadvanced-actuatorsdexterous-handsAldebaran, maker of Pepper and Nao robots, put in receivership - The Robot Report
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robotroboticsautomationAItechnologyinnovationdexterityLearn how gearboxes enable next-gen warehouse automation - The Robot Report
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robotdroneeducationunmanned-systemstechnologyroboticsUAVCongressional Robotics Caucus relaunches to help U.S. industry - The Robot Report
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robotroboticsbipedalbalancemobilitysensorscontrol-algorithmsTech transfer in action: What we learned at Malaga's Foro Transfiere 2025
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robotAMRautonomous-mobile-robotsroboticsAIwarehouse-automationmulti-vendor-solutionsRecapping Robotics Summit & Expo 2025
robothumanoidroboticsAIautomationindustrial-robotstechnologyWhy Intempus thinks robots should have a human physiological state
robotroboticsAIemotional-intelligencehuman-robot-interactionIntempusmachine-learningChina’s capacitor-free coil gun can fire 3,000 projectiles a minute, outpacing rivals
energymaterialsroboticslithium-ion-batterieselectromagnetic-coilscoil-gundirected-energy-weaponRoboForce introduces Titan mobile manipulator, brings in $5M more in funding - The Robot Report
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roboticsautomationhumanoid-robotsrobotics-innovationrobotic-systemsartificial-intelligenceROSARM Institute appoints Jorgen Pedersen as new CEO - The Robot Report
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robotroboticsICRA2025automationUAVUGVconferenceRobot Navigates With The 5 Senses
robotnavigationsensory-systemroboticstechnologyartificial-intelligenceHumanoids demonstrate combat moves ahead of world-first robot boxing
robothumanoidcombatboxingdemonstrationroboticstechnologyMbodi AI launches on Y Combinator, developing embodied AI for industrial robots - The Robot Report
robotAIautomationmanufacturingroboticstechnologyinnovationPorton Man: Humanoid robot to test chemical gear for US Army in real-world conditions
robothumanoid-robotchemical-testingmilitary-technologyroboticsprotective-gearadvanced-roboticsRainbow Robotics unveils omnidirectional wheels, development kit for its dual-arm robot - The Robot Report
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robotAir-Forcewildlife-managementstudent-innovationroboticsenvironmental-solutionsmilitary-technologyPhotos: World's tallest 3D-printed tower blends tech, art, and climate
robotics3D-printingdigital-designarchitectureconstruction-technologyCO₂-capturematerials-scienceHumanoid robots evolve with 360° wheels, flexible controls from Korea
robothumanoid-robotsroboticsautomationmobilitytechnologyinnovationDuke's robot dog mimics human touch, sound to navigate forest terrain
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robotautomationroboticscollaborative-robotsmotion-controlpath-planningsafety-standardsNVIDIA releases cloud-to-robot computing platforms for physical AI, humanoid development - The Robot Report
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droneUAVeducationtechnologyroboticsinnovationstudent-engagementRobot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto
robotmachine-learningadaptable-robotsroboticsartificial-intelligenceautonomous-machinesreinforcement-learningWhat’s coming up at #ICRA2025?
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robotartificial-intelligencemachine-learningimitation-learningroboticstask-automationvideo-trainingDespite the hype, Interact Analysis expects humanoid adoption to remain slow
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robotAIe-wasterecyclingautomationroboticstechnologyMô hình AI cho phép điều khiển robot bằng lời
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robotroboticsautomationAIforce-sensingindustrial-robotsAmazon-RoboticsRobot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart
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robotautomationtechnologyengineeringroboticsChinaapplicationsU.S. automotive industry increased robot installations by 10% in 2024
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robotUnitree-H1AIroboticssafety-protocolshumanoid-robottechnologyRecapping Robotics Summit & Expo 2025
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robothumanoid-robotautomationindustrial-applicationsroboticsmotion-plasticsaffordable-roboticsHEBI Robotics wins RBR50 award for ‘inchworm’ robot family
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robotmotion-controlroboticsautomationEtherCATservo-drivestechnology-innovationsRobot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn
robotautomationmanufacturingroboticsartificial-intelligencetechnology-adoptiondigital-transformationYour guide to Day 2 of the 2025 Robotics Summit & Expo
robotroboticsrobotaxiartificial-intelligenceautomationtechnologyexpo2025 Is the Year of the Humanoid Robot Factory Worker
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robotautonomous-drivingmulti-agent-systemspath-findingwarehouse-logisticscollision-avoidanceroboticsBurgerBots opens restaurant with ABB robots preparing fast food
BurgerBotsABB-Roboticsfast-foodautomationroboticsrestaurant-technologycobotsEpson adds GX-C Series with RC800A controller to its robot line
EpsonroboticsGX-C-seriesSCARA-robotsRC800A-controllerSafeSense-technologyautomationGlacier brings in $16M and announces new Recology King deployment
GlacierfundraisingroboticsrecyclingautomationtechnologyRecologyRobot Talk Episode 113 – Soft robotic hands, with Kaspar Althoefer
roboticssoft-roboticsrobotic-handsKaspar-AlthoefertechnologyengineeringRobohubRobot Talk Episode 115 – Robot dogs working in industry, with Benjamin Mottis
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soft-roboticselectronic-skinroboticstechnologyMiranda-LowtherUniversity-of-BristolRobohubGet in gear for warehouse automation at the Robotics Summit & Expo
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