CS 326 A: Motion Planning robotics.stanford.edu/~latombe/cs326/2004/index.htm Collision Detection and Distance Computation: Feature Tracking Methods

Main Approaches  Hierarchical bounding volume hierarchies  Feature tracking (pairs of closest features)

With Bounding Volume Hierarchies Dynamic Collision Checking

With Feature Tracking: Dynamic Collision Checking Particularly useful when the motion is checked while being executed, e.g., as in haptics. Requires spatio-temporal assumption to be satisfied: Under a small relative motion of the objects, the tracked features change undergo small changes

Feature Tracking Methods  Only update the tracked features at “critical events” when they may change  KDS (Kinetic Data Structure methods) [Guibas et al.]  Fixed or arbitrary small discretization This class’s papers: 1. Lin and Canny method (+ V-Clip of B. Mirtich) 2. Application to detecting self-collisions in humanoid robots (Kuffner et al.)

Combining Bounding Volume and Feature Tracking Methods  T.Y. Li and J.S. Chen Incremental 3D Collision Detection with Hierar-chical Data Structures,Proc. ACM Symp. on Virtual Reality Software and Technology, p , Taipei, Taiwan

Combining Bounding Volume and Feature Tracking Methods  S.A. Ehmann and M.C. Lin. Accurate and Fast Proximity Queries Between Polyhedra Using Convex Surface Decomposition. Proc Eurographics, Vol. 20, No. 3, pp ,  Use BVH to quickly identify close pairs of polyhedra  Use feature-tracking to check these pairs