Cooperation Boston Dynamics and RAI Institute optimize humanoid robots

Source: Boston Dynamics | Translated by AI 1 min Reading Time

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Robotics could massively benefit from AI. This makes the widespread use of humanoid robots more likely.

The current version of the Atlas robotic system from Boston Robotics no longer moves hydraulically but electrically.(Image: Boston Dynamics)
The current version of the Atlas robotic system from Boston Robotics no longer moves hydraulically but electrically.
(Image: Boston Dynamics)

Boston Dynamics and the Robotics & AI Institute (RAI Institute) have announced a partnership to further develop humanoid robots using Reinforcement Learning (RL). As part of this collaboration, a joint RL training pipeline for the new electric Atlas robot will be established to develop dynamic and versatile mobile manipulation capabilities, according to a statement. This project builds on previous collaborations between Boston Dynamics and the RAI Institute, including the development of the Spot Reinforcement Learning Researcher Kit, released last year. This kit enabled the training of unique behaviors and locomotion modes for the four-legged robot Spot, resulting in record running speeds of 11.5 mph (5.2 m/s).

The current partnership now focuses on humanoid robots and has several goals, including the development of sim-to-real approaches for mobility. Despite advances in fast parallel simulators and sophisticated policy optimization techniques, transferring simulation results to real robot hardware remains one of the biggest challenges in applying reinforcement learning in robotics.

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