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Algorithm h Research n on e Obstacle Avoidance Path Planning for Elevating Emergency
lifting emergency rescue stretcher; Genetic algorithm; Obstacle avoidance path planning; MATLAB simulation
Draft Pending
Xiying Zhang / Qingdao University of Science and Technology
Ziyang Yin / Qingdao University of Science & Technology
Junhao Yi / Qingdao University of Science & Technology
Zhichao Cui / Qingdao University of Science & Technology
Wenlu Luan / Qingdao University of Science & Technology
Guopeng Wang / Qingdao University of Science & Technology
The genetic algorithm is applied to

the path planning of lifting emergency rescue stretcher,

and the corresponding algorithm program is designed. In

terms of obstacle avoidance path planning, according to

the process of genetic algorithm, the path length is set as

the fitness of the individual. First of all, the known

working environment is modeled, obstacles and feasible

squares are illuminated, and the starting point and end

point are set. Then the corresponding parameters such as

variation rate are set, and finally, the path with the highest

output fitness is regarded as the optimal path. The

algorithm used in this paper is simulated on MATLAB

software, and the experimental results show that the

algorithm designed in this paper gets the shortest path
Important Date
  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)