Game-Based Approximate Optimal Motion Planning for Safe Human-Swarm Interaction-Reference-Cited by-同舟云学术

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Game-Based Approximate Optimal Motion Planning for Safe Human-Swarm Interaction

Published:2024 Issue: Volume: Page:1-12
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Li Man¹,Qin Jiahu¹^ORCID,Li Jiacheng¹^ORCID,Liu Qingchen¹^ORCID,Shi Yang²^ORCID,Kang Yu³^ORCID

Affiliation:

1. Department of Automation, University of Science and Technology of China, Hefei, China

2. Department of Mechanical Engineering, University of Victoria, Victoria, Canada

3. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

National Postdoctoral Program for Innovative Talents

Natural Science Foundation of Anhui Province

Hefei Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/10378739.pdf?arnumber=10378739

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning With Multiple Unrelated Rewards for AGV Mapless Navigation;IEEE Transactions on Automation Science and Engineering;2024

2. Differential Game-Based Control for Nonlinear Human–Robot Interaction System With Unknown Desired Trajectory;IEEE Transactions on Cybernetics;2024

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