— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Abstract— In this paper, we describe a method for coordinating multiple robots in a pursuit-evasion domain. We examine the problem of multiple robotic pursuers attempting to loca...
—An algorithmic solution method is presented for the problem of autonomous robot motion in completely unknown environments. Our approach is based on the alternate execution of tw...
Giuseppe Oriolo, Giovanni Ulivi, Marilena Venditte...
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
We combine a "hybrid" force/position control scheme with a potential field approach into a novel method for collision recovery and navigation in unknown environments. It...