Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning-Reference-Cited by-同舟云学术

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Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning

Published:2024-05-10 Issue: Volume: Page:6-11
ISSN:
Container-title:2024 9th International Conference on Control and Robotics Engineering (ICCRE)
language:
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Author:

Chen Yiwen¹,Guo Sheng¹,Liu Zhiyang¹,Zhou Lei¹,Zhang Zhengshen¹,Zhao Ruiteng¹,Ang Marcelo H.¹

Affiliation:

1. National University of Singapore,Advanced Robotics Centre,Singapore

Funder

Agency for Science, Technology and Research (A*STAR)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10589600/10589608/10589902.pdf?arnumber=10589902

Reference18 articles.

1. Deep reinforcement learning for high precision assembly tasks

2. Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach

3. A Learning-Based Two-Stage Method for Submillimeter Insertion Tasks With Only Visual Inputs

4. GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping

5. TossingBot: Learning to Throw Arbitrary Objects with Residual Physics

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