Open AccessResearch on Path Planning Method of Humanoid Robot Based on Improved Genetic Algorithm
Author(s) -
Xingqun Zhan
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022028
Subject(s) - motion planning , mobile robot , computer science , robot , genetic algorithm , humanoid robot , path (computing) , hotspot (geology) , artificial intelligence , point (geometry) , algorithm , machine learning , mathematics , computer network , geometry , geophysics , geology
Mobile robot is a comprehensive subject developed rapidly in recent years. In the near future, robots may appear in many aspects of your life. Robots can replace humans to complete many tasks, among which it is very critical to accurately reach the destination, so the path planning of mobile robots has become a research hotspot in related fields.In this paper, the path planning technology of mobile robot based on genetic algorithm is studied. Based on the traditional method, some improved algorithms and new solutions are proposed to improve the computational efficiency of the algorithm and search an optimal path between the starting point and the target point.