Information-theoretic stochastic optimal control via incremental sampling-based algorithms... In this paper, we use incremental sampling-based algorithms to sample useful trajectories from the unforced system dynamics, and make a novel connec-tion between Rapidly-exploring Random Trees (RRTs)...
Incremental sampling-based algorithms for optimal motion planningAbstract — During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to possess theoretical guarantees...
Incremental sampling-based algorithms for optimal motion planningAbstract — During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Ran-dom Trees (RRTs) have been shown to work well in practice and to possess theoretical guarantees...
Incremental sampling-based algorithms for a class of pursuit-evasion games... In this paper, a novel incremental sampling-based algorithm is pre-sented to compute optimal open-loop solutions for the evader, assuming worst-case behavior for the pursuer....
