Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

• URL: http://arxiv.org/abs/2202.10448v1
• Date: Mon, 21 Feb 2022 18:59:59 GMT
• Title: Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
• Authors: Aravind Sivakumar, Kenneth Shaw, Deepak Pathak
• Abstract summary: We build a system that enables any human to control a robot hand and arm, simply by demonstrating motions with their own hand. The robot observes the human operator via a single RGB camera and imitates their actions in real-time. We leverage this data to train a system that understands human hands and retargets a human video stream into a robot hand-arm trajectory that is smooth, swift, safe, and semantically similar to the guiding demonstration.
• Score: 24.530131506065164
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We build a system that enables any human to control a robot hand and arm, simply by demonstrating motions with their own hand. The robot observes the human operator via a single RGB camera and imitates their actions in real-time. Human hands and robot hands differ in shape, size, and joint structure, and performing this translation from a single uncalibrated camera is a highly underconstrained problem. Moreover, the retargeted trajectories must effectively execute tasks on a physical robot, which requires them to be temporally smooth and free of self-collisions. Our key insight is that while paired human-robot correspondence data is expensive to collect, the internet contains a massive corpus of rich and diverse human hand videos. We leverage this data to train a system that understands human hands and retargets a human video stream into a robot hand-arm trajectory that is smooth, swift, safe, and semantically similar to the guiding demonstration. We demonstrate that it enables previously untrained people to teleoperate a robot on various dexterous manipulation tasks. Our low-cost, glove-free, marker-free remote teleoperation system makes robot teaching more accessible and we hope that it can aid robots that learn to act autonomously in the real world. Videos at https://robotic-telekinesis.github.io/

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