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About

Norihisa Miyake is a pioneering researcher at the intersection of human-robot interaction, intelligent control systems, and assistive technologies for aging populations. His work fundamentally explores how voice and embodiment shape human-agent communication, particularly for older adults. His landmark 2021 paper, "Voice in Human–Agent Interaction" (222 citations), establishes voice as a critical modality for social robots and conversational agents, setting a foundational framework for the field. Miyake's major contributions include demonstrating that voice-first interfaces can effectively facilitate group conversations among seniors, as shown in his 2022 study (38 citations), which compares robot and voice assistant embodiments. Beyond social interaction, he has made significant technical contributions to robot control, including a partitioned neural network architecture for inverse kinematics (1991, 18 citations) and a dual control architecture that mimics human cerebrum functionality for adaptive robot behavior. His practical innovations extend to healthcare, with a stand-up assist system using coordinated bed motion and a scenario-based dialogue system for daily health monitoring. Miyake's work uniquely bridges hardware control, artificial intelligence, and user-centered design, with over 300 total citations, making him a key figure in developing robots that are both technically sophisticated and socially attuned to human needs.