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About

Marios Daoutis is a leading researcher in cognitive robotics and knowledge representation, whose work bridges the gap between symbolic reasoning and perceptual systems. His primary research areas include perceptual anchoring, knowledge-based reasoning, and semantic grounding for autonomous agents. Daoutis’s most significant contribution is the development of frameworks that enable robotic systems to create and maintain stable connections between symbolic knowledge and perceptual data—a process he terms "perceptual anchoring." His foundational 2008 paper on this topic (27 citations) introduced knowledge representation to enrich anchoring, while his 2012 work on cooperative anchoring (22 citations) extended this to multi-agent and human-robot interaction settings. Daoutis has also advanced concept anchoring for cognitive robots and explored semantic compositionality, a key cognitive capacity for grounding meaning in artificial systems. His 2014 paper on semantic composition (5 citations) addresses the computational modeling of compositional meaning. Additionally, his 2009 work on integrating common sense in physically embedded systems (4 citations) demonstrates the practical application of these ideas in symbiotic environments where sensors, robots, and humans coexist. Daoutis’s research is pivotal for developing robots that can understand and interact with their environment in a semantically meaningful way.