Please use this identifier to cite or link to this item:
Title: Robot path planning with penetration growth distance
Authors: Ong, Chong Jin 
Gilbert, Elmer G.
Issue Date: 1994
Citation: Ong, Chong Jin,Gilbert, Elmer G. (1994). Robot path planning with penetration growth distance. Proceedings - IEEE International Conference on Robotics and Automation (pt 3) : 2146-2152. ScholarBank@NUS Repository.
Abstract: An algorithmic approach to path finding is considered for a general class of robotic systems. The basic idea is to formulate an optimization problem over a family of continuous paths which satisfy the specified end conditions and possess robot-obstacle collisions. The cost to be minimized depends on penetration growth distance, a new measure for the depth of intersection between a pair of object models. The growth distance and its derivatives with respect to configuration variables describing the orientation and position of the objects can be computed quickly. This is a key factor in attaining acceptable computational times. Variations of the initial strategy, which improve computational efficiency and reliability, are discussed. Significant reductions in computational time are easily obtained by parallel processing.
Source Title: Proceedings - IEEE International Conference on Robotics and Automation
ISBN: 0818653329
ISSN: 10504729
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Aug 18, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.