A scalable reinforcement learning–based framework to facilitate the teleoperation of humanoid robots

Credit: He et al

The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet teleoperation could also be used to compile datasets of human motions, which could help to train humanoid robots on new tasks.

Researchers at Carnegie Mellon University recently developed Human2HumanOid (H2O), a method to enable the effective teleoperation of human-sized humanoid robots. This approach, introduced in a paper posted to the arXiv preprint server, could enable the training of humanoid robots on manual tasks that …
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