Unsupervised Representation Learning for Visual Robotics Grasping
Author:
Affiliation:
1. University of Science and Technology of China,Department of Automation,Hefei,China,230026
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9959088/9959097/09959267.pdf?arnumber=9959267
Reference19 articles.
1. Learning robust, real-time, reactive robotic grasping
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2. What You See is what You Grasp: User-Friendly Grasping Guided by Near-eye-tracking;2023 IEEE International Conference on Development and Learning (ICDL);2023-11-09
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