Environment exploration and recognition for mobile robot using immune algorithm and objectness measure

Author(s):  
Wenbin Qu ◽  
Songmin Jia ◽  
Xue Zhao
2012 ◽  
Vol 466-467 ◽  
pp. 864-869 ◽  
Author(s):  
Yuan Bin Hou ◽  
Wei Wang ◽  
Xiao Yue Lu

Aim at local optimal problem in the path planning of mobile robot by artificial immune algorithm, it is proposed that the improved artificial immune algorithm of mobile robot path planning. Based on artificial immunity algorithm, the potential function method of an artificial potential field is used in this algorithm, improving randomness of the initial population of the artificial immune algorithm, then the algorithm make initial population turn to evolutionary operation through crossover, variance and selection operator to get optimum antibody. The simulation results showed that this algorithm is easy to get the optimal path, at the same time, increasing the speed of the path planning, and the length of the optimal path planning is less 28.5% compare with the traditional immune algorithm.


2016 ◽  
Vol 12 (2) ◽  
pp. 106-112 ◽  
Author(s):  
Mohamed Emharraf ◽  
Mohammed Bourhaleb ◽  
Mohammed Saber ◽  
Mohammed Rahmoun

2007 ◽  
Author(s):  
Young-Hun Ki ◽  
Gu-Min Jeong ◽  
Chan-Woo Moon ◽  
Hyun-Sik Ahn ◽  
Do-Hyun Kim

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