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Boston Dynamics and TRI use large behavior models to train Atlas humanoid - The Robot Report

Boston Dynamics and TRI use large behavior models to train Atlas humanoid - The Robot Report
Source: roboticsbusinessreview
Author: @therobotreport
Published: 8/21/2025

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Boston Dynamics, in collaboration with Toyota Research Institute (TRI), is advancing the development of large behavior models (LBMs) to enhance the capabilities of its Atlas humanoid robot. Recognizing that humanoid robots must competently perform a wide range of tasks—from manipulating delicate objects to handling heavy items while maintaining balance and avoiding obstacles—Boston Dynamics is focusing on creating AI generalist robots. Their approach involves training end-to-end, language-conditioned policies that enable Atlas to execute complex, long-horizon manipulation tasks by leveraging its full-body mobility, including precise foot placement, crouching, and center-of-mass shifts. The development process involves four key steps: collecting embodied behavior data via teleoperation on both real hardware and simulations; processing and annotating this data for machine learning; training neural network policies across diverse tasks; and evaluating performance to guide further improvements. To maximize task coverage, Boston Dynamics employs a teleoperation system combining Atlas’ model predictive controller with a custom VR interface, enabling the robot to perform tasks

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roboticshumanoid-robotsBoston-DynamicsAI-in-roboticsmachine-learningrobot-manipulationautomation