More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch

More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus cannot easily benefit from feedback after initiating contact. In this letter, we investigate how a robot can learn to use t...

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Bibliographic Details
Main Authors: Calandra, Roberto, Owens, Andrew, Jayaraman, Dinesh, Lin, Justin, Yuan, Wenzhen, Malik, Jitendra, Adelson, Edward H, Levine, Sergey
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2020
Online Access:https://hdl.handle.net/1721.1/126806

Internet

https://hdl.handle.net/1721.1/126806

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