Agents that operate in a real-world environment have to process an abundance of information, which may be ambiguous or noisy. We present a method inspired by cognitive research tha...
Maria E. Niessen, Gert Kootstra, Sjoerd de Jong, T...
— This paper presents a self-localization strategy for a team of heterogenous mobile robots, including ground mobile robots of various sizes and wall-climbing robots. These robot...
This paper presents a system of absolute localization based on the stereoscopic omnidirectional vision. To do it we use an original perception system which allows our omnidirectio...
Cyril Drocourt, Laurent Delahoche, Claude Pé...
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
Abstract— This paper presents a novel approach to mapping for mobile robots that exploits user interaction to semiautonomously create a labelled map of the environment. The robot...