Articles tagged with "Boston-Dynamics"
Boston 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-failureRobot 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-inspectionAtlas humanoid robot adapts to failure, unlocking next-gen dexterity
Boston Dynamics’ humanoid robot Atlas has made significant advancements in dynamic perception and adaptability, enabling it to handle complex, real-world tasks with greater dexterity and reliability. Moving beyond pre-programmed movements, Atlas integrates advanced AI with classical control systems to build a real-time 3D understanding of its environment. This allows the robot to identify objects, assess their properties, and navigate obstacles dynamically, which is essential for performing intricate tasks like picking up car parts and placing them accurately. The robot’s ability to continuously update its environmental model and adjust its actions in real-time helps it compensate for errors such as objects slipping or being out of place. Atlas also demonstrates impressive resilience in challenging scenarios, including operating in poorly lit spaces and overcoming visual obstructions by actively manipulating objects to improve its perspective. A key breakthrough is its capacity to adapt seamlessly to unexpected environmental changes, such as when objects are moved during a task, requiring it to revise its plan on the fly. Furthermore, Atlas can recover from “catastrophic
robothumanoid-robotBoston-Dynamicsdynamic-perception-systemAI-roboticsrobotic-dexterityadaptive-roboticsHow 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-technologySpot robot dog gets AI boost to detect equipment failures early
Boston Dynamics has enhanced its Spot robot dog through an upgraded version of its Orbit intelligent automation platform, aimed at advancing predictive industrial maintenance. The new system enables Spot to autonomously inspect industrial sites, capturing consistent visual data that Orbit analyzes using vision-language prompts to quickly identify hazards such as overheating motors, air leaks, safety risks, corrosion, and equipment deterioration. This approach addresses traditional gaps in condition-based monitoring by providing repeatable, detailed inspections and transforming visuals into actionable insights, including numerical data and descriptive text. A notable addition is the Site View feature, which creates a lightweight visual history of facilities using 360° images, supporting remote monitoring and condition tracking over time. The updated Orbit platform also introduces centralized fleet management dashboards for enterprise users, allowing oversight of multiple robots across sites with customizable user permissions and detailed activity logs. Privacy is maintained through an automatic face-blurring function in images captured by Spot’s cameras. Software updates can be deployed over the air to multiple robots simultaneously, and Orbit can be hosted on-premise or in the cloud as a virtual machine. Integration with third-party systems is facilitated via APIs, webhooks, and a low-code beta for automated work order generation. Additionally, a dynamic thermal thresholding feature helps automatically detect temperature anomalies by analyzing statistical data, reducing the need for expert intervention and enhancing early failure detection in industrial environments.
robotAIpredictive-maintenanceindustrial-automationBoston-Dynamicsfacility-inspectionautonomous-robotsOrbit 5.0 adds features to Boston Dynamics' Spot quadruped robot - The Robot Report
robotAIautomationinspectionsBoston-DynamicsSpottechnologyDHL buying 1,000+ Stretch robots from Boston Dynamics
robotlogisticsautomationBoston-DynamicsStretchsupply-chaindigitalizationHyundai đưa robot hình người vào nhà máy tại Mỹ
robotautomationmanufacturingHyundaiBoston-DynamicsAtlaselectric-vehicles2025 Is the Year of the Humanoid Robot Factory Worker
robothumanoid-robotfactory-automationBoston-DynamicsAtlas-robotindustrial-robotsrobotics