A reactive agent-based problem-solving model: Application to localization and tracking
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
An environment-based methodology to design reactive multi-agent systems for problem solving
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
An approach for the integration of swarm intelligence in MAS: An engineering perspective
Expert Systems with Applications: An International Journal
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Abstract: Presents a vision-based localisation system for a mobile robot that uses a representative set of images obtained during an initial exploration of the environment. This set of images makes it possible to represent the environment as a partially Markov decision process. The originality of this approach is the resulting data fusion process that uses both image matching and the decisions made by the robot in order to estimate the set of plausible positions of the robot and the associated probabilities. Image matching or recognition is achieved using principal components analysis.