Title :
A fast algorithm for incremental distance calculation
Author :
Lin, Ming C. ; Canny, John F.
Author_Institution :
California Univ., Berkeley, CA, USA
Abstract :
A simple and efficient algorithm for finding the closest points between two convex polynomials is described. Data from numerous experiments tested on a broad set of convex polyhedra on R3 show that the running time is roughly constant for finding closest points when nearest points are approximately known and is linear in total number of vertices if no special initialization is done. This algorithm can be used for collision detection, computation of the distance between two polyhedra in three-dimensional space, and other robotics problems. It forms the heart of the motion planning algorithm previously presented by the authors (Proc. IEEE ICRA, p.1554-9, 1990)
Keywords :
computational geometry; planning (artificial intelligence); polynomials; robots; closest points; collision detection; computational geometry; convex polyhedra; convex polynomials; incremental distance calculation; motion planning; robotics problems; three-dimensional space; Heart; History; Linear programming; Motion planning; Orbital robotics; Testing; Tracking;
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
DOI :
10.1109/ROBOT.1991.131723