Combination of Reinforcement Learning Models Towards considerate motion planning for multiple pedestrians-Reference-Cited by-同舟云学术

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Combination of Reinforcement Learning Models Towards considerate motion planning for multiple pedestrians

Published:2023 Issue:2 Volume:56 Page:3616-3621
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Mishra Neel,Yamaguchi Takuma,Okuda Hiroyuki,Suzuki Tatsuya

Publisher

Elsevier BV

Subject

General Medicine

Reference17 articles.

1. Real-time obstacle avoidance for fast mobile robots;Borenstein;IEEE Trans. on Sys., Man, and Cybernetics,1989

2. Real-time obstacle avoidance for fast mobile robots in cluttered environments;Borenstein;IEEE Int'l Conf. on Rob. and Auto.,1990

3. The Vector field histogram-fast obstacle avoidance for mobile robots;Borenstein;IEEE Trans. on Rob. and Auto.,1991

4. The Dynamic Window approach to collision avoidance;Fox;IEEE Rob. Auto. Magazine,1997

5. Reciprocal Velocity Obstacles for real-time multi-agent navigation;v. d. Berg;IEEE on Rob. and Auto.,2008

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