… We present a new approach to motion planning under sensing and motion uncertainty by
computing a locally optimal solution to a continuous partially observable Markov decision …

… a motion planning framework for autonomous on-road driving considering both the uncertainty
caused … The future motion of traffic participants is predicted using a local planner, and the …

… In this paper we propose a precisely defined motion planning problem with uncertainty, …
plans, which are guaranteed to succeed if some predefined assumptions bounding uncertainty …

… Motion planning with imperfect state information is a crucial capability for autonomous robots
to operate reliably in uncertain … general framework for planning under uncertainty. Using …

… Monte Carlo Motion Planning (MCMP), to the problem of motion planning under uncertainty,
… MCMP applies this CP estimation procedure to motion planning by iteratively (i) computing …

… plans for a robot moving in an environment with obstacles and other robots in the presence
of uncertainty. We start by generating motion plans … these errors and uncertainties. There are …

… In this paper we address a limited class of robot motion planning problems with uncertainty.
We assume that the robot is the only agent in a static workspace, and that the geometry of …

… We begin by formulating a distributionally robust motion planning under uncertainty problem.
The formulation follows an analogous approach for chance-constrained motions planning …

… problem of motion planning in the presence of state uncertainty, also known as planning in
… its utility for balancing information gathering to reduce uncertainty and finding low cost paths. …

… In this work, a probabilistic occupancy grid approach for motion planning that deals with
localization uncertainty is proposed. This approach proposes a general way to fuse data coming …