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title
VideoDex: Learning Dexterity from Internet Videos
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Learning Dexterity from Internet Videos
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VideoDex: Learning Dexterity from Internet Videos
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updated
2026-02-21 10:27:38
raw text
VideoDex: Learning Dexterity from Internet Videos VideoDex: Learning Dexterity from Internet Videos Kenneth Shaw * , Shikhar Bahl * , Deepak Pathak , Carnegie Mellon University CoRL 2022 *Equal contribution, order decided by coin flip. arXiv Code (Coming Soon) Abstract To build general robotic agents that can operate in many environments, it is imperative for the robot to collect experience in the real world. However, this is often not feasible due to safety, time and hardware restrictions. We thus propose leveraging the next best thing as real world experience: internet videos of humans using their hands. Visual priors, such as visual features, are often learned from videos, but we believe that more information from videos can be utilized as a stronger prior. We build a learning algorithm, VideoDex, that leverages visual, action and physical priors from human video data to guide robot behavior. These action and physical priors in the neural network dictate...
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