Title :
Real-time and Accurate Multiple Contact Detection between General Curved Objects
Author :
Chou, Wusheng ; Xiao, Jing
Author_Institution :
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC
Abstract :
Contact detection based on computing minimum distance is a fundamental issue important to many applications. A largely unsolved problem is how to detect multiple contacts that are formed simultaneously between non-convex and non-polyhedral general objects both accurately and in real-time. This paper presents an effective solution to the problem. Our approach first locates the pairs of closest components by fast intersection checking based on hybrid bounding volume hierarchies of surface components. For each pair of such components, it then finds the pairs of closest points and corresponding pairs of closest parametric features by combining collision detection or minimum distance query between polygonal meshes of those components and exact distance computation between the parametric features. Implementation results show that this approach can compute multiple simultaneous contacts between general objects both very accurately and efficiently in the order of several milliseconds regardless of the numbers of features on the objects
Keywords :
collision avoidance; mobile robots; collision detection; general curved objects; hybrid bounding volume hierarchies; multiple contact detection; polygonal meshes; Computer science; Electrical capacitance tomography; Equations; Haptic interfaces; Intelligent robots; Motion detection; Object detection; Real time systems; Robotic assembly; USA Councils; collision detection; curved objects; minimum distance computation; multiple contact detection; real time;
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.2006.282364