Satoshi Kurihara

NTT Basic Research Laboratories, Keio University

Papers

Total Citations

H-Index

About

Satoshi Kurihara is a pioneering researcher in artificial intelligence and multi-agent systems, with a career spanning from foundational work in adaptive planning to cutting-edge applications in human-robot interaction. His early research introduced an adaptive selection mechanism for reactive and deliberate planning in dynamic environments, a contribution that has garnered steady recognition over decades. More recently, Kurihara has advanced the field of group cohesiveness understanding through the development of LDNN (Linguistic Knowledge Injectable Deep Neural Network), a novel framework that integrates linguistic knowledge into deep learning models to assess the level of intimacy within human groups. This work is particularly impactful for designing dialogue robots capable of fostering human communication. While his citation counts reflect a focused and evolving research trajectory—from 9 citations on his early planning work to emerging interest in his group dynamics research—Kurihara's contributions bridge classical AI planning with modern deep learning and social robotics. His efforts to make machines comprehend subtle social cues underscore a commitment to creating more empathetic and context-aware artificial agents, positioning him as a thoughtful innovator at the intersection of AI, linguistics, and social intelligence.