Title :
A Collision Predict Based Local Path Planning of Mobile Robots
Author :
Gao, Yang ; Sun, Shu-Dong
Author_Institution :
Instn. of Syst. Integrated & Eng. Manage., Northwestern Polytech. Univ., Xian
Abstract :
Based on the velocity of obstacles and its distribution, the position of the dangerous region (potential collision region) has been predicted. So that the dangerous region would be expanded based on the distribution of its position to ensure the security. By finding the best ldquofree roadrdquo and estimate the ldquodangerrdquo, a data reduction technique is employed to compress all the information needed in path planning. With the help of that the efficiency of the fuzzy logic controller is improved significantly which is also employed to calculate the speed of the robot. Benefit from the fuzzy logic controller and the dangerous region predicted technique, our method is more robust in dynamic environment with uncertainty. And the results of both experiments and simulations have proved that our method get a better effect than the conventional ones.
Keywords :
collision avoidance; data reduction; fuzzy control; mobile robots; collision predict based local path planning; dangerous region predicted technique; data reduction technique; fuzzy logic controller; mobile robot; obstacle velocity; potential collision region; Fuzzy logic; Mobile robots; Path planning; Roads; Robot kinematics; Robot sensing systems; Robotics and automation; Uncertainty; Vehicle dynamics; Velocity control; collision predict; dynamic environment; fuzzy logic control; local path planning;
Conference_Titel :
Informatics in Control, Automation and Robotics, 2009. CAR '09. International Asia Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-3331-5
DOI :
10.1109/CAR.2009.101