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. In this research, based on the idea of hybrid path planning, whale optimization algorithm is introduced combined with computer perception technology to realize the path planning of 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.
CITATION STYLE
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
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