— This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach is based on the Rapidly-exploring Random Trees ...
Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emil...
— We present a sampling-based path planning and replanning algorithm that produces anytime solutions. Our algorithm tunes the quality of its result based on available search time...
Disasters, natural and man-made alike, pose a serious threat to the nation by taking a heavy toll in human lives, destroying the public infrastructure and production capacity, int...
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
— In this paper we present a new method for kinodynamic motion planning in environments that contain both static and moving obstacles. We present an efficient twostage approach:...