Risk-Sensitive Mobile Robot Navigation in Crowded Environment via Offline Reinforcement Learning-Reference-Cited by-同舟云学术

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Risk-Sensitive Mobile Robot Navigation in Crowded Environment via Offline Reinforcement Learning

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Wu Jiaxu¹,Wang Yusheng¹,Asama Hajime¹,An Qi²,Yamashita Atsushi²

Affiliation:

1. Graduate School of Engineering, The University of Tokyo,Department of Precision Engineering,Bunkyo-ku,Tokyo,Japan,113–8656

2. Graduate School of Frontier Sciences, The University of Tokyo,Department of Human and Engineered Environmental Studies,Kashiwa,Chiba,Japan,277–8563

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341948.pdf?arnumber=10341948

Reference25 articles.

1. Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning

2. Relational Graph Learning for Crowd Navigation

3. Social force model for pedestrian dynamics

4. Smooth collision avoidance in human-robot coexisting environment

5. Social Momentum: Design and Evaluation of a Framework for Socially Competent Robot Navigation

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