Abstract
We present the framework we have adopted to implement robust sensing in the Milan Robocup F-2000 Team. The main issue concerns the definition of symbolic models both for the single agent and for the whole multi-agent system. Information about physical objects is collected by intelligent sensors and anchored to symbolic concepts. These are used both to control the robots through a behavior-based system, and to improve the global knowledge about the environment. © 2002 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Bonarini, A., Matteucci, M., & Restelli, M. (2002). A framework for robust sensing in multi-agent systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2377 LNAI, pp. 287–292). Springer Verlag. https://doi.org/10.1007/3-540-45603-1_32
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
