Title :
Obstacle avoidance path planning strategy for robot arm based on fuzzy logic
Author :
Yanjie Chen ; Yaonan Wang ; Xiao Yu
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
In this paper, a novel path planning strategy based on fuzzy logic for a robot arm with a fixed pedestal is proposed, and the simulation environment conditions in which the robot arm works are specific and unpredictable. First, considering a simple working platform set in front of the robot arm system, it will become an obstacle when robot is working. Second, an obstacle avoidance path planning strategy is designed and the coordinates of robot arm end are used to achieve close-loop control. In addition, fuzzy control theory is applied to design a fuzzy path planning controller, and a dangerous sign is introduced to avoid obstacle. Finally, the experiments simulated on a two-joint robot arm with a fixed pedestal is given. The results show the feasibility and safety of the proposed path planning strategy.
Keywords :
closed loop systems; collision avoidance; control system synthesis; fuzzy control; manipulators; close-loop control; controller design; fixed pedestal robot; fuzzy logic; obstacle avoidance; path planning strategy; two-joint robot arm; Collision avoidance; Fuzzy logic; Robot kinematics; Service robots; Trajectory; Fuzzy logic; Obstacle avoidance; Path planning; Robot arm;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485438