Masashi Okamoto

Tokyo University of Technology, The University of Tokyo

Papers

Total Citations

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About

Masashi Okamoto is a researcher in human-robot interaction and communicative artificial intelligence, focusing on how machines can become more natural and resilient conversational partners. His work centers on designing communicative artifacts that bridge the gap between rigid robotic responses and the fluid, context-aware expectations of human interaction. In his most cited paper, "A two-layered approach to communicative artifacts" (2007, 3 citations), Okamoto proposes a framework that separates low-level sensorimotor control from high-level social reasoning, enabling robots to maintain robust communication even when faced with unexpected interruptions or ambiguous cues. This layered model has informed subsequent research on adaptive dialogue systems and social robotics. His earlier study, "How to Make Robot a Robust and Interactive Communicator" (2005, 2 citations), further explores practical strategies for embedding error recovery and turn-taking mechanisms into robotic platforms. Though his citation counts are modest, Okamoto’s contributions are notable for their conceptual clarity and emphasis on real-world interactivity, offering foundational insights for engineers and cognitive scientists alike. His work remains a valuable reference for those seeking to build robots that are not just functional, but genuinely communicative.