Generated paths of FSARS: (a) map, 3 tasks and 1 human, (b) map, 6 tasks and 1 human.

Generated paths of FSARS: (a) map, 3 tasks and 1 human, (b) map, 6 tasks and 1 human.

<p>Red circles are observed positions of humans. Green square is the start position and the stars are goals of the agent.</p>

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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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