Grounded Symbolic Communication between Heterogeneous Cooperating Robots
Autonomous Robots
Anchoring Symbols to Vision Data by Fuzzy Logic
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Anchoring Symbols to Sensor Data: Preliminary Report
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Grounding commonsense knowledge in intelligent systems
Journal of Ambient Intelligence and Smart Environments
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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.