Title :
Perception-action method for mobile robot plan and control based on driving experience
Author :
Hongjiang, Li ; Xiping, Tao ; Muhe, Guo ; Kezhong, He
Author_Institution :
Dept. of Artificial Intelligence, Tsinghua Univ., Beijing, China
Abstract :
A method of navigation and control for mobile robot is introduced. It combines task planning and path tracking together with the principle of “perception-action” under the guidance of “goal planning”. First, we discuss the behavior of the mobile robot in an outdoor real world for the purpose of setting up a mixed layered architecture with “perception-action” and “goal planning”. Then a simple but effective approach of sensor based navigation and control is described for the implementation of the architecture. Finally, we give some improvements based on the human-driving experience concerning path tracking and control for the mobile robot moving on outdoor semistructured roads. The experiments carried out on our THMR-III (Tsinghua Mobile Robot III) mobile robot navigating in the real world showed the method described was effective and robust
Keywords :
intelligent control; mobile robots; navigation; path planning; robot vision; tracking; ultrasonic transducer arrays; THMR 3 mobile robot; electrooptical encoders; goal planning; mixed layered architecture; obstacle avoidance; outdoor semistructured roads; path planning; perception-action; real world environment; sensor based navigation; task planning; tracking; ultrasonic sensors; video camera; Helium; Intelligent robots; Intelligent sensors; Mobile robots; Navigation; Path planning; Roads; Robot control; Robot sensing systems; Robustness;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.571370