Enhancing GJK: computing minimum and penetration distances between convex polyhedra | IEEE Conference Publication | IEEE Xplore

Enhancing GJK: computing minimum and penetration distances between convex polyhedra


Abstract:

The problem of tracking the distance between two convex polyhedra is finding applications in many areas of robotics, including intersection detection, collision detection...Show More

Abstract:

The problem of tracking the distance between two convex polyhedra is finding applications in many areas of robotics, including intersection detection, collision detection, and path planning. We present new results that confirm an almost-constant time complexity for an enhanced version of Gilbert, Johnson and Keerthi's (GJK) algorithm, and also describe modifications to the algorithm to compute measures of penetration distance.
Date of Conference: 25-25 April 1997
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-3612-7
Conference Location: Albuquerque, NM, USA

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