Asimov Releases Open-Source Training Code for Humanoid Robot Locomotion
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- HumanoidsDaily
Asimov has announced the open-source release of the training code for its humanoid robot's walking capabilities. This initiative, revealed on September 25, allows developers to inspect and modify the locomotion policy of Asimov 1, providing a foundation for adapting the robot's controller to different hardware and exploring various walking styles.
This development is significant as it enhances the accessibility of robotics technology, enabling a broader community of developers to contribute to the evolution of humanoid robotics. By providing the isaac_asimov repository built on NVIDIA’s Isaac Lab simulation framework, Asimov encourages innovation in training methodologies, which could lead to improved humanoid performance and capabilities.
Looking ahead, developers will be able to utilize the released training framework to bridge the simulation-to-hardware gap, although no further timeline was disclosed at the time of publication. The community's engagement with this open-source initiative could accelerate advancements in humanoid locomotion and related technologies.
Original report
Asimov Open-Sources the Training Code Behind Its Humanoid’s Walk
HumanoidsDaily · [email protected] (Humanoids Daily Staff)This briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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