Learning ambidextrous robot grasping policies

Jeffrey Mahler, Matthew Matl, Vishal Satish, Michael Danielczuk, Bill DeRose, Stephen McKinley, Ken Goldberg

2019Published

514Citations

0References

journal articleType

Abstract

An ambidextrous grasping policy trained on synthetic datasets consistently clears bins of up to 25 novel objects with a physical robot.

Journal: Science Robotics

Publisher: American Association for the Advancement of Science (AAAS)

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