Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards-Reference-Cited by-同舟云学术

Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards

Published:2022-07 Issue:3 Volume:7 Page:5896-5903
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Han Ruihua¹^ORCID,Chen Shengduo²,Wang Shuaijun²^ORCID,Zhang Zeqing¹^ORCID,Gao Rui²,Hao Qi²^ORCID,Pan Jia¹^ORCID

Affiliation:

1. Department of Computer Science, The University of Hong Kong, Hong Kong

2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China

Funder

Shenzhen Fundamental Research Program

HKSAR RGC GRF

Innovation and HKSAR Technology Commission

InnoHK Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9750005/09740403.pdf?arnumber=9740403

Reference27 articles.

1. Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

2. Socially aware motion planning with deep reinforcement learning

3. Cooperative Multi-Robot Navigation in Dynamic Environment with Deep Reinforcement Learning

4. Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

5. Robot Navigation in Crowded Environments Using Deep Reinforcement Learning

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