Deep learning can accelerate grasp-optimized motion planning-Reference-Cited by-同舟云学术

Deep learning can accelerate grasp-optimized motion planning

Published:2020-11-18 Issue:48 Volume:5 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Ichnowski Jeffrey¹^ORCID,Avigal Yahav¹^ORCID,Satish Vishal¹^ORCID,Goldberg Ken¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720, USA.

Abstract

Warm-starting grasp-optimized motion planning with deep learning reduces computation time by two orders of magnitude.

Funder

National Science Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference50 articles.

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