Local Path Planning: Dynamic Window Approach With Q-Learning Considering Congestion Environments for Mobile Robot

Local Path Planning: Dynamic Window Approach With Q-Learning Considering Congestion Environments for Mobile Robot

In recent years, autonomous mobile robots have significantly increased in prevalence due to their ability to augment and diversify the workforce. One critical aspect of their operation is effective local path planning, which considers dynamic constraints. In this context, the Dynamic Window Approach...

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Bibliographic Details
Main Authors: Masato Kobayashi, Hiroka Zushi, Tomoaki Nakamura, Naoki Motoi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Path planning
motion planning
collision avoidance
mobile robot
dynamic window approach
Online Access:https://ieeexplore.ieee.org/document/10237217/

Internet

https://ieeexplore.ieee.org/document/10237217/

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