— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
— In this work, we present a framework for the development of a planar mobile robot controller based on image plane feedback. We show that the design of such a motion controller ...
— This video presents the Autonomous City Explorer (ACE) project. Its goal was to create a robot capable of navigating unknown urban environments without the use of GPS data or p...
Andrea Maria Bauer, Klaas Klasing, Tingting Xu, St...
Abstract— Sampling-based algorithms have dramatically improved the state of the art in robotic motion planning. However, they make restrictive assumptions that limit their applic...
We introduce a new algorithm to cover an unknown space with a homogeneous team of circular mobile robots. Our approach is based on a single robot coverage algorithm, a boustrophed...
DeWitt Latimer IV, Siddhartha S. Srinivasa, Vincen...