Research on Robot Obstacle Avoidance and Path Tracking under Dynamically Unknown Environment
The path of the mobile robot is a multi-objective optimization problem.The traditional ant colony algorithm is introduced into the path planning of the mobile robot.Due to the complexity of the robot path,the large search space and the low efficiency,it is easy to fall into the local optimum and even deadlock and other defeats.In order to enhance the efficiency and accuracy of path planning,a path planning algorithm of mobile robot based on ant colony algorithm is proposed.The path planning of mobile robot is simulated under grid environment.The experimental results show that the improved algorithm can improve the efficiency of path planning for mobile robot,safely avoid obstacles and find all the optimal solutions in the shortest time.
mobile robot ant colony algorithm path planning
NIE Qingbin
College of Mobile Communication Chongqing University of Posts and Telecom Chongqing,China
国际会议
重庆
英文
2607-2610
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）