会议专题

Risk reduction in Autonomous Local Path-Planning for a Mobile Robot with set fitness function

This paper presents Reduce risk of a genetic algorithm based path-planning algorithm for local obstacle avoidance of a mobile robot with change in fitness function. The method tries to find not only a valid path but also an optimal one. The objectives are to minimize the length of the path and the number of turns. The proposed path planning method allows use some effective parameter to define fitness function, therefore we success to reduce risk and reach optimal path.

Path plannin Genetic Algorithm Risk Reduction

Rcyhaneh Maarefdoust Mohsen Amani

Sama technical and vocational training school,Islamic Azad University, Mashhad branch,Mashhad, Iran Khavaran University Mashhad, Iran

国际会议

2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

上海

英文

195-198

2011-03-11(万方平台首次上网日期,不代表论文的发表时间)