Title :
Path planning using a potential field representation
Author :
Hwang, Yong Koo ; Ahuja, Narendra
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Abstract :
An approach to two-dimensional as well as three-dimensional findpath problems that divides each problem into two steps is presented. Rough paths are found based only on topological information. This is accomplished by assigning to each obstacle an artificial potential similar to electrostatic potential to prevent the moving object from colliding with the obstacles, and then locating minimum-potential valleys. The paths defined by the minimum-potential valleys are modified to obtain an optimal collision-free path and orientations of the moving object along the path. Three algorithms are given to accomplish this second step. These three algorithms based on potential fields are nearly complete in scope, and solve a large variety of problems
Keywords :
artificial intelligence; navigation; topology; collision avoidance; collision-free path; minimum-potential valleys; moving object; path planning; potential field representation; topology; Dynamic programming; Electrostatics; Equations; Geometry; Heuristic algorithms; Optimization methods; Path planning; Robotics and automation; Semiconductor optical amplifiers; Shape;
Conference_Titel :
Robotics and Automation, 1988. Proceedings., 1988 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-8186-0852-8
DOI :
10.1109/ROBOT.1988.12131