Title :
Comparison of A and RRT-Connect Motion Planning Techniques for Self-Reconfiguration Planning
Author_Institution :
Maersk Mc-Kinney Moller Inst. for Prod. Technol., Southern Denmark Univ.
Abstract :
This paper presents a comparison between two different algorithms for self-reconfiguration planning on modular self-reconfigurable robots. The two algorithms are A* and RRT-Connect. A* has often been used for self-reconfiguration planning on different systems, but so far no work has been done to show that A* is an optimal or even a good choice for this task. The RRT-connect algorithm is adopted from traditional robot motion planning and is easily adapted to self-reconfiguration planning. The results show that RRT-connect is significantly faster than A* for difficult self-reconfiguration problems. In most cases RRT-connect generates longer paths that A* it is, however, possible to optimize the paths from RRT-connect by a simple and efficient method such that the difference is negligible
Keywords :
algorithm theory; path planning; robots; A* algorithm; RRT-connect motion planning; modular self-reconfigurable robots; self-reconfiguration planning; Intelligent robots; Motion planning; Orbital robotics; Path planning; Production planning; Production systems; Roads; Robot motion; Service robots; Technology planning; planning; self-reconfiguration;
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0259-X
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.281743