— A novel probabilistic online learning framework for autonomous off-road robot navigation is proposed. The system is purely vision-based and is particularly designed for predict...
Ayse Erkan, Raia Hadsell, Pierre Sermanet, Jan Ben...
— Stochastic mapping is an approach to the concurrent mapping and localization (CML) problem. The approach is powerful because feature and robot states are explicitly correlated....
Richard J. Rikoski, John J. Leonard, Paul M. Newma...
Abstract: In November of 1998, an expedition from Carnegie Mellon University travelled to the Patriot Hills, Antarctica. The purpose of the expedition was to demonstrate autonomous...
Nicolas Vandapel, Stewart J. Moorehead, William Wh...
The capability of perceiving the environment is crucial for advancing the level of autonomy and sophistication of (semi)autonomous robotic systems and determines the complexity of ...
Abstract— We consider the classical task of transporting resources from source to home by a group of autonomous robots. The robots use ant-like trail following to navigate betwee...