NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning-Reference-Cited by-同舟云学术

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NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning

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

Author:

Wang Weizheng¹,Wang Ruiqi¹,Mao Le²,Min Byung-Cheol¹

Affiliation:

1. Purdue University,SMART Laboratory,Department of Computer and Information Technology,West Lafayette,IN,USA

2. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341395.pdf?arnumber=10341395

Cited by 4 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-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Learning Crowd Behaviors in Navigation with Attention-based Spatial-Temporal Graphs;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk;Transportation Research Part C: Emerging Technologies;2024-02

4. Risk-Aware Deep Reinforcement Learning for Robot Crowd Navigation;Electronics;2023-11-22

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