The motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning ...

MIT researchers developed a way to facilitate robot training. It points out a robot's errors so that people could correct them quickly.

Smart glasses provide scalable training data compared with static cameras. Robots learn manipulation tasks directly from ...

A research team from the University of Illinois Urbana-Champaign, along with collaborators from Columbia University and UT ...

Tool-as-Interface, a two-camera, video-only method that teaches robots tool use, with a high average success rate and cuts data collection time.

The Optimus team has shifted away from motion capture suits and virtual reality headsets and plans to prioritize a ...

In a newly published preprint paper, researchers propose a framework that translates videos of human demonstrations to commands robots can understand.

The Beijing Innovation Center for Humanoid Robotics recently released the motion control algorithm framework of the Beijing half-marathon champion robot " Tien Kung," filling a gap in the open ...

Motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning (RL) ...