2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
A hybrid architecture for autonomous navigation using a CBR reactive layer
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1931-8
This paper presents a hybrid architecture for autonomous robot navigation. It includes a deliberative layer that hierarchically extracts a global path from a geometrical-topological model of the environment. This path is decomposed into a set of partial goals. Then, a new case-based reasoning based reactive layer capable of learning new local navigation strategies moves from each partial goal to the next. The architecture has been successfully tested in real dynamic environments.
Citation:
C. Urdiales, E.J. P?rez, F. Sandoval, J. V?zquez-Salceda, "A hybrid architecture for autonomous navigation using a CBR reactive layer," iat, pp.225, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003