Abstract
Anchoring is the activity an agent does to classify the objects it perceives and to track them. With the increasing abilities of mobile robots, anchoring is becoming a major research issue to make robots perform their task in unstructured and partially unknown environments. We propose a model to represent knowledge in an agent, possibly participating to a multi—agent system, showing that the anchoring problem can be successfully faced by well known AI techniques. We discuss how this model can reliably support the instantiation of concepts by aggregating percepts affected by uncertainty, sensed by several sensors, and obtained from different agents.
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References
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Bonarini, A., Matteucci, M., Restelli, M. (2001). Concepts for Anchoring in Robotics. In: Esposito, F. (eds) AI*IA 2001: Advances in Artificial Intelligence. AI*IA 2001. Lecture Notes in Computer Science(), vol 2175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45411-X_34
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DOI: https://doi.org/10.1007/3-540-45411-X_34
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