Christopher Stanton

Papers

Total Citations

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About

Christopher Stanton is a researcher whose work bridges the fields of robotics, artificial intelligence, and knowledge representation. His most notable contribution, "Grounding Robot Sensory and Symbolic Information Using the Semantic Web" (2004), tackles one of the fundamental challenges in autonomous robotics: enabling robots to meaningfully connect raw sensory data with symbolic, human-interpretable knowledge. By leveraging Semantic Web technologies, Stanton explored how robots could draw upon structured, machine-readable information to better understand and navigate their environments — a problem that sits at the heart of building truly intelligent autonomous systems. This work, which has garnered 9 citations, reflects an early and forward-thinking recognition that the emerging Semantic Web could serve not just as a tool for human information sharing, but as a cognitive scaffold for robotic agents. At a time when the Semantic Web itself was still maturing, applying it to robotic grounding represented an innovative interdisciplinary leap. Stanton's research contributes to the broader conversation around symbol grounding, human-robot interaction, and knowledge-driven autonomy — themes that remain deeply relevant as AI systems grow increasingly sophisticated and context-aware.