End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation-Reference-Cited by-同舟云学术

End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation

Published:2022-11-07 Issue: Volume: Page:
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Container-title:2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Wang Tianying¹,Puang En Yen²,Lee Marcus³,Jing Wei⁴,Wu Yan²

Affiliation:

1. Key Laboratory of Education Ministry for Modern Design Rotor-Bearing System, Xi'an Jiaotong University,Xi'an,China

2. A*STAR Institute of Information Research (I2R),Singapore

3. National University of Singapore (NUS),Singapore

4. Alibaba DAMO Academy,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979726/9979808/09980136.pdf?arnumber=9980136

Reference44 articles.

1. Survey of Model-Based Reinforcement Learning: Applications on Robotics

2. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,0

3. Keto: Learning keypoint representations for tool manipulation;qin;ArXiv Preprint,2019

4. Domain randomization for transferring deep neural networks from simulation to the real world

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