BeingBeyond's Being-M0.7 Achieves 71.1% in SIMPLE Simulation for Humanoid Motion Prediction
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- PanDaily.com
BeingBeyond's Being-M0.7 has demonstrated its capability to predict future visual latents and whole-body motion prior to executing actions. This advanced humanoid robot achieved a notable performance in the SIMPLE simulation, scoring 71.1%, and matched the strongest baseline using a Unitree G1 robot.
The significance of this achievement lies in the innovative approach of utilizing 10,000 hours of human video to enhance the learning process for humanoids. This method not only improves the robot's ability to walk and grasp but also sets a new benchmark in humanoid robotics, showcasing the potential for more sophisticated interactions in various applications.
Looking ahead, the focus will be on further refining the capabilities of the Being-M0.7 and exploring its applications in real-world scenarios. No further timeline was disclosed at the time of publication.
Original report
BeingBeyond's Being-M0.7 Uses 10,000 Hours of Human Video to Teach Humanoids to Walk and Grasp
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