Researchers have developed CoorDex, a new learning pipeline designed to enable dexterous humanoid robots to perform manipulation tasks while in motion. This system converts high-dimensional body and hand control into coordinated latent residual control, allowing for continuous loco-manipulation rather than a stop-and-go approach. CoorDex has been demonstrated on a Unitree G1 humanoid robot with a WUJI hand, successfully executing tasks such as grasping and carrying a bottle, opening a fridge door, and manipulating cubes while moving. AI
IMPACT Enables more fluid and continuous manipulation for humanoid robots, potentially advancing their utility in dynamic environments.
RANK_REASON Academic paper detailing a new method for robot control. [lever_c_demoted from research: ic=1 ai=1.0]
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