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Path planning on multiple intelligent agents scenario

  1. Install numpy

  2. Install matplotlib

Stimuli concerned concept was inspired by Prof.ChaoYu Chen ->->-> 10.1109/tits.2017.2761865

The following is SIEP.py trajectory result, the BLUE line means short distance movement, RED line represents long distance movement, GREEN line means where robot cannot pass.

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The application scenarios of experiment 2 and experiment 3 are complex terrain.

Experiment 2 result--Stimuli control

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Experiment 3 result--Stimuli control

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Experiment 4 is to test the performance of the SIEP algorithm in a narrow channel.The following result represents SIEP have LOCAL MINIMUM TRAP PROBLEM, and the robot can't achieve the destination.

Experiment 4 result--Stimuli control.

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However, if we up-regulation the maximum velocity Vmax, the robot can achieve the destination.

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DFS, BFS, Dijkstra, A*, PFP, PRM are very famous path planning algorithms.

If you have any question, please email me: 3567271318@qq.com

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