【作者单位】Department of Information Engineering,Jilin Business and Technology College；Department of Urology,the First Hospital of Jilin University；Department of Anaesthesiology,the First Hospital of Jilin University
【召开年】2015
【会议地点】中国重庆
【会议录】Proceedings of 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)
【摘要】 In order to improve the algorithm efficiency, expand the scope of application, we study the mobile robot path planning technology based on improved genetic algorithm. In this paper, we design a new ad
