Title :
Planning motion in point-represented contact spaces using approximate star-shaped decomposition
Author :
Lien, Jyh-Ming ; Lu, Yanyan
Author_Institution :
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
Abstract :
Star-shaped decomposition partitions a shape into a set of star-shaped components. A shape is star shaped if and only if there exists at least one point which can see all the points in the shape. Due to this interesting property, decomposing a configuration space into star-shaped components can be beneficial, e.g., for solving motion planning problem. In this paper, we propose a simple method to decompose the contact space, represented by point set data, into approximate star-shaped components. We propose two motion planning methods, one deterministic and one probabilistic, both based on this idea.
Keywords :
mobile robots; path planning; approximate star-shaped decomposition; configuration space; mobile robot; motion planning methods; planning motion; point-represented contact spaces; star-shaped components; Intelligent robots; Iterative algorithms; Joining processes; Motion planning; Network topology; Orbital robotics; Path planning; Shape; Solid modeling; USA Councils;
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
DOI :
10.1109/IROS.2009.5354685