ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Control of autonomous mobile robots in dynamical environments is interesting from a cognitive point of view as well as under application view points. Stimulus response controls ar...
— In this paper we present a heuristic approach to planning in an environment with moving obstacles. Our approach assumes that the robot has no knowledge of the future trajectory...
Abstract— Probabilistic roadmaps (PRM) have been demonstrated to be very promising for planning paths for robots with high degrees of freedom in complex 3D workspaces. In this pa...
Khaled Belghith, Froduald Kabanza, Leo Hartman, Ro...
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...