Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08385-4.pdf
Reference48 articles.
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3. Fan T, Cheng X, Pan J, Long P, Liu W, Yang R, Manocha D (2019) Getting robots unfrozen and unlost in dense pedestrian crowds. IEEE Robot Autom Lett 4(2):1178–1185
4. Sathyamoorthy AJ, Patel U, Guan T, Manocha D (2020) Frozone: freezing-free, pedestrian-friendly navigation in human crowds. IEEE Robot Autom Lett 5(3):4352–4359
5. Trautman P, Krause A (2010) Unfreezing the robot: navigation in dense, interacting crowds. In: 2010 IEEE/RSJ international conference on intelligent robots and systems, pp 797–803
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. Multi-Objective Deep Reinforcement Learning with Priority-based Socially Aware Mobile Robot Navigation Frameworks;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27
2. Dynamic warning zone and a short-distance goal for autonomous robot navigation using deep reinforcement learning;Complex & Intelligent Systems;2023-08-22
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