Takeru Mori
Papers
2
Total Citations
8
H-Index
2
About
Takeru Mori is a researcher in human-robot interaction, specializing in developing natural conversation systems for partner robots. His key research areas include conversational AI, sensor networks, and informationally structured spaces that enable robots to engage in context-aware dialogue with humans. Mori’s most notable contribution is his 2011 paper on a conversation system for robot partners, which has garnered 6 citations and introduces a tripartite framework consisting of information support, daily conversation, and scenario conversation modes. This system leverages sensor networks to extract environmental data, allowing robots to provide relevant, real-time information and maintain engaging interactions. His earlier 2009 work, cited 2 times, further advances this field by applying Boltzmann selection and Bayesian networks for topic selection, conversation control, and utterance generation, aiming to achieve natural, gesture-integrated communication. Mori’s research is foundational for creating socially intelligent robots capable of seamless human-like dialogue, bridging the gap between robotic functionality and intuitive user experience. His work remains influential for scholars developing companion robots and interactive AI systems.
Research Focus
Key Achievements
Top Papers
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- 2