Research on Robot Path Perception and Optimization Technology Based on Whale Optimization Algorithm

Authors

  • Jie Zan College of Mechanical and Electrical Engineering, Xi’an Polytechnic University, China

DOI:

https://doi.org/10.47852/bonviewJCCE597820205514

Keywords:

whale algorithm, robot, path planning, genetic algorithm, computer perception

Abstract

With the development of modern sensor technology, the automatic movement of robot has become a reality, and improving the path planning performance of robot in dynamic and complex environment is an important development direction of mobile robot intelligence. This time, based on the idea of hybrid path planning, whale optimization algorithm and computer perception technology are introduced to plan the path of the robot. In order to improve the performance of the traditional whale optimization algorithm, it is optimized and improved by genetic algorithm. Through the performance simulation analysis of the improved whale optimization algorithm, it can be seen that the improved algorithm has better path optimization performance and significantly improved efficiency compared with other traditional algorithms. It can perceive and calculate an optimized path.

 

Received: 1 November 2021 | Revised: 22 February 2022 | Accepted: 24 February 2022

 

Conflicts of Interest

The author declares that he has no conflicts of interest to this work.


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Published

2022-03-21

Issue

Section

Research Articles

How to Cite

Zan, J. (2022). Research on Robot Path Perception and Optimization Technology Based on Whale Optimization Algorithm. Journal of Computational and Cognitive Engineering, 1(4), 201-208. https://doi.org/10.47852/bonviewJCCE597820205514