Social crowd navigation of a mobile robot based on human trajectory prediction and hybrid sensing-Reference-Cited by-同舟云学术

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Social crowd navigation of a mobile robot based on human trajectory prediction and hybrid sensing

Published:2023-04 Issue:4 Volume:47 Page:339-351
ISSN:0929-5593
Container-title:Autonomous Robots
language:en
Short-container-title:Auton Robot

Author:

Chen Hao-Yun,Huang Pei-Han,Fu Li-Chen^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10514-023-10103-x.pdf

Reference35 articles.

1. Alonso-Mora, J., Breitenmoser, A., Rufli, M., Beardsley, P., & Siegwart, R. (2013). Optimal Reciprocal Collision Avoidance for Multiple Non-Holonomic Robots. Berlin: Springer.

2. Arun, K. S., Huang, T. S., & Blostein, S. D. (1987). Least-squares fitting of two 3-D point sets. IEEE Transactions on pattern analysis and machine intelligence, 5, 698–700.

3. Cao, C., Trautman, P., Iba, S. (2019). Dynamic channel: A planning framework for crowd navigation. In 2019 International Conference on Robotics and Automation (ICRA), pp. 5551–5557.

4. Chen, Y.F., Everett, M., Liu, M., & How, J.P. (2017). Socially aware motion planning with deep reinforcement learning. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1343–1350.

5. Chen, C., Liu, Y., Kreiss, S., Alahi, A. (2019). Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning. In 2019 International Conference on Robotics and Automation (ICRA), pp. 6015–6022.

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3. SACSoN: Scalable Autonomous Control for Social Navigation;IEEE Robotics and Automation Letters;2024-01

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