Boston Dynamics’ Atlas Gets a Brain Upgrade

Source: interestingengineering
Author: Interesting Engineering
Published: 8/22/2025
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Read original articleBoston Dynamics has significantly upgraded its humanoid robot Atlas by integrating a Large Behavior Model (LBM), enabling the robot to learn complex human actions from extensive datasets rather than relying on traditional hand-coded instructions. This advancement allows Atlas to perform a variety of tasks with notable dexterity, such as moving baskets, transferring objects, placing items on shelves, and manipulating different shapes. The robot also demonstrates resilience by continuing its work despite attempts to disrupt it.
This shift to LBMs marks a move toward creating truly general-purpose humanoid robots capable of adapting quickly to real-world environments and tasks. By leveraging large-scale learning models, Atlas can exhibit more flexible and autonomous behavior, potentially broadening its applications beyond pre-programmed routines. Boston Dynamics’ decision to withhold Atlas from the inaugural Robot Olympics in China reflects their focus on refining this sophisticated capability before public competition.
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robotBoston-Dynamicshumanoid-robotLarge-Behavior-Modelrobotics-AIAtlas-robotrobot-learning