Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
This paper proposes a Distributed Vision System as a Perceptual Information Infrastructure for robot navigation in a dynamically changing world. The distributed vision system, con...
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
— We present an outdoor terrain planner that finds near optimal trajectories under dynamic and kinematic constraints. The planner can find solutions in close to real time by re...
Abstract. With the emergence of mobile and ubiquitous computing environments, there is a requirement to enable collaborative applications between these environments. As many of the...
Steven Heeps, Joe Sventek, Naranker Dulay, Alberto...