DocumentCode :
301395
Title :
Heuristic approach to dynamic motion planning for multi-link planar manipulators in a sparse, time varying environment
Author :
Hamilton, Kevin ; Dodds, Gordon I.
Author_Institution :
Dept. of Electr. & Electron. Eng., Queen´´s Univ., Belfast, UK
Volume :
1
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
904
Abstract :
In this paper a fast and simple method to solve the motion planning problem for planar manipulators is suggested. This method is based on the development of a set of simple reactive behaviours, which allow the robot to move through a time-varying workspace. These simple reactive behaviours are activated by each link of the robot in response to the sensory information experienced as the robot moves through its workspace in search of its goal. As a consequence of the robot´s behaviours being reactive, the influence of obstacles on the robot´s path is only local. However, there is a subset of problems for which sequential movement of links fails to guide the robot to its goal. This constitutes what we describe as a local minima problem. This problem has been solved by producing a behaviour which identifies local minima and defines an intermediate goal for the robot, in order to guide it out of the local minima. Results are given in the paper which illustrate the performance of this planner
Keywords :
manipulator dynamics; optimisation; path planning; time-varying systems; dynamic motion planning; heuristics; local minima problem; multi-link planar manipulators; obstacle avoidance; time-varying workspace; Animal behavior; Artificial intelligence; Genetic algorithms; Intelligent robots; Manipulator dynamics; Mobile robots; Motion planning; Orbital robotics; Remotely operated vehicles; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.537882
Filename :
537882
Link To Document :
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