GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Author:
Affiliation:
1. Tsinghua University,Beijing National Research Center for Information Science and Technology (BNRist),Department of Automation,Beijing,China,100084
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981499.pdf?arnumber=9981499
Reference28 articles.
1. Deep Learning for Detecting Robotic Grasps
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