Tetsuya Kaneko

Tokyo Metropolitan University, Hokkaido University

Papers

Total Citations

H-Index

About

Tetsuya Kaneko is a researcher in human-robot interaction, focusing on assistive robotics for elderly care and the acquisition of human characteristics through dialogue. His work centers on developing robotic systems that can monitor daily life, interpret human intentions, and provide context-aware support in home environments. Kaneko's major contributions include the creation of an Attendant Robot system that uses a ZigBee-3D acceleration sensor and Kinect sensor to prevent elderly users from becoming lost or disoriented, as well as a model for context-adaptive physical imitation between multiple humans and robots that extracts intention from behaviors, utterances, and situations. His research on acquiring life-logs through robot dialogue aims to improve healthcare and daily living. While his citation counts are modest (4, 3, and 2 for his most-cited papers), his work represents foundational steps in developing socially assistive robots that can understand and respond to human needs in real-world settings. Kaneko's research contributes to the growing field of ambient assisted living, where sensor networks and robotic companions work together to support aging populations.