Within-Hand Manipulation with an Underactuated Dexterous Hand Based on Pre-Trained Reinforcement Learning-Reference-Cited by-同舟云学术

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Within-Hand Manipulation with an Underactuated Dexterous Hand Based on Pre-Trained Reinforcement Learning

Published:2023-11-17 Issue: Volume:22 Page:3171-3176
ISSN:
Container-title:2023 China Automation Congress (CAC)
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Author:

Li Xin¹,Chen Wenrui²,Wang Yaonan¹,Diao Qiang²,Wu Sijie³,Yang Fan²

Affiliation:

1. College of Electrical and Information Engineering, Hunan University,National Engineering Research Center for Robot Visual Perception and Control,Changsha,China

2. School of Robotics, Hunan University,National Engineering Research Center for Robot Visual Perception and Control,Changsha,China

3. College of Mechanical and Vehicle Engineering, Hunan University,National Engineering Research Center for Robot Visual Perception and Control,Changsha,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451758.pdf?arnumber=10451758

Reference17 articles.

1. An overview of dexterous manipulation

2. A review of robot learning for manipulation: Challenges, representations, and algorithms;Kroemer;The Journal of Machine Learning Research,2021

3. Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

4. Peg-in-Hole Assembly With Dual-Arm Robot and Dexterous Robot Hands

5. Hybrid Robotic Grasping With a Soft Multimodal Gripper and a Deep Multistage Learning Scheme

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