Graph Wasserstein Autoencoder-Based Asymptotically Optimal Motion Planning With Kinematic Constraints for Robotic Manipulation-Reference-Cited by-同舟云学术

Graph Wasserstein Autoencoder-Based Asymptotically Optimal Motion Planning With Kinematic Constraints for Robotic Manipulation

Published:2023-01 Issue:1 Volume:20 Page:244-257
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Xia Chongkun¹^ORCID,Zhang Yunzhou²^ORCID,Coleman Sonya A.³^ORCID,Weng Ching-Yen⁴,Liu Houde¹,Liu Shichang⁵,Chen I-Ming⁶^ORCID

Affiliation:

1. Intelligent Control and Tele-Science Research Center, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. College of Information Science and Engineering, Northeastern University, Shenyang, China

3. School of Computing and Intelligent Systems, Ulster University, Derry, U.K.

4. Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai, China

5. SIASUN Robot & Automation Company Ltd, Shenyang, China

6. Robotics Research Centre, Nanyang Technological University, Singapore

Funder

National Natural Science Foundation of China

Equipment Pre-Research Foundation

Major Science and Technology Projects of Liaoning Province

Foundation of Key Laboratory of Equipment Reliability

Fundamental Research Funds for the Central Universities

Guangdong Young Talent with Scientific and Technological Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/10007430/09708428.pdf?arnumber=9708428

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