Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
We introduce a simplification algorithm for meshes composed of quadrilateral elements. It is reminiscent of edge-collapse based methods for triangle meshes, but takes a novel appr...
This paper prescribes an incremental procedure to construct roadmaps of unknown environments. Recall that a roadmap is a geometric structure that a robot uses to plan a path betwe...
Howie Choset, Sean Walker, Kunnayut Eiamsa-Ard, Jo...
A review of current computer-aided technologies in design and product development, the evolution of CAD modeling, and a framework of multi-volume CAD modeling system for heterogen...
— The problem of representing environments of a mobile robot has been studied intensively in the past. The predominant approaches for geometric representations are gridbased or l...