Crowd Perception Communication-Based Multi- Agent Path Finding With Imitation Learning-Reference-Cited by-同舟云学术

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Crowd Perception Communication-Based Multi- Agent Path Finding With Imitation Learning

Published:2024-10 Issue:10 Volume:9 Page:8929-8936
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Xie Jing¹^ORCID,Zhang Yongjun¹,Yang Huanhuan²^ORCID,Ouyang Qianying³^ORCID,Dong Fang²,Guo Xinyu⁴^ORCID,Jin Songchang³^ORCID,Shi Dianxi³^ORCID

Affiliation:

1. National Innovation Institute of Defense Technology, Beijing, China

2. College of Computer, National University of Defense Technology, Changsha, China

3. Intelligent Game and Decision Lab, Beijing, China

4. College of Computer, Beijing Institute of Technology, Beijing, China

Funder

Integrated Program of National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10638067/10669172.pdf?arnumber=10669172

Reference39 articles.

1. Multi-agent path findingan overview;Stern,2019

2. Highways in warehouse multi-agent path finding: A case study;Rybr,2022

3. Planning, scheduling and monitoring for airport surface operations;Morris,2016

4. Learning to cooperate: Application of deep reinforcement learning for online AGV path finding;Zhang,2020

5. Cobots: Robust symbiotic autonomous mobile service robots;Veloso,2015

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