High-level search process of the proposed FSARS.

<div><p>Various approaches have been studied to solve the path planning problem of a mobile robot designing with multiple tasks. However, safe operation for a mobile robot in dynamic environments remains a challenging problem. This paper focuses on safe path planning for a mobile robot e...

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Bibliographic Details
Main Author:	Jian Mi (21533502) (author)
Other Authors:	Xianbo Zhang (4113475) (author), Zhongjie Long (13927368) (author), Jun Wang (5906) (author), Wei Xu (28953) (author), Yue Xu (246925) (author), Shejun Deng (9674246) (author)
Published:	2025
Subjects:	Sociology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified task success rate simulation results demonstrate reinforcement learning method randomly moving humans generating optimal paths distinct task number time collision avoidance novel safe approach safe path rather safe path planning path planning problem planning level instead mobile robot designing including conflict number evaluate fsars based dynamic environments remains safe path mobile robot dynamic environments shortest path safe planner safe operation computational time challenging problem conflict distribution average conflict human number structure aims several metrics paper focuses multiple tasks merely seeking lowest collisions level implements grid size fsars reduces environmental settings avoiding collisions
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High-level search process of the proposed FSARS.

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