Apr 11, 2024
How blue-collar workers will train the humanoids that take their jobs
Posted by Genevieve Klien in categories: information science, robotics/AI, transportation
Carnegie Mellon University (CMU) researchers have developed H2O – Human2HumanOid – a reinforcement learning-based framework that allows a full-sized humanoid robot to be teleoperated by a human in real-time using only an RGB camera. Which begs the question: will manual labor soon be performed remotely?
A teleoperated humanoid robot allows for the performance of complex tasks that are – at least at this stage – too complex for a robot to perform independently. But achieving whole-body control of human-sized humanoids to replicate our movements in real-time is a challenging task. That’s where reinforcement learning (RL) comes in.
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