Title :
A study of the clash detection problem in robotics
Author :
Cameron, Stephen
Author_Institution :
McDonnell Douglas Research Laboratories, St.Louis, MO
Abstract :
To solve the clash detection problem we must decide whether a collision will occur between any pair of objects from a set of objects with known shapes and motions. We have considered three methods for performing clash detection: in the first we sample the motion at a finite number of times and perform interference detection at each time; in the second we create models of the shapes and their motions in space-time, and look for intersections between these four-dimensional entities; and in the third we create models of the volumes swept out by the objects. This paper is a brief, comparative study of these three methods, and includes some details of our experiments with the first two methods as implemented in a geometric modelling system.
Keywords :
Artificial intelligence; Collision avoidance; Graphics; Interference; Motion detection; Object detection; Path planning; Robot programming; Shape; Solid modeling;
Conference_Titel :
Robotics and Automation. Proceedings. 1985 IEEE International Conference on
DOI :
10.1109/ROBOT.1985.1087245