Adaptive Gait Generation for Hexapod Robot using Genetic Algorithm

被引:0
作者
Manglik, Aditya [1 ]
Gupta, Kunal [1 ]
Bhanot, Surekha [1 ]
机构
[1] Birla Inst Technol & Sci, Dept Elect & Elect Engn, Pilani 333031, Rajasthan, India
来源
PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016) | 2016年
关键词
Gait Generation; Hexapod; Genetic Algorithm; Damage Recovery; Adaptive Gait;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Animals display naturally robust locomotion designs which enable them to move on rugged terrains and even adapt to injuries. Most of the robots do not possess such robustness and are rendered useless if they get structurally damaged. In this paper; it is shown that such adapting ability can be introduced in robot's locomotion; if damaged; by evolving optimal gaits through genetic algorithm (GA). A hexapod robot simulation was used to test the gaits generated by GA. Simulation results have proven that the evolved gait enables a hexapod to move effectively with one leg damaged. This technique will increase the reliability and effectiveness of autonomous robots in areas hostile to humans.
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页数:6
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