Yusuke Kobashi
Papers
2
Total Citations
13
H-Index
2
About
Yusuke Kobashi’s research lies at the intersection of human-robot interaction and affective computing, with a focus on enabling machines to perceive and respond to human emotion. His most cited work, “Estimating Subjective Assessments Using a Simple Biosignal Sensor” (2012), has accumulated 13 citations and addresses a foundational challenge in robotics: how can robots infer human feelings without complex equipment? By demonstrating that a basic biosignal sensor can estimate subjective assessments, Kobashi showed that emotionally aware communication between humans and robots is feasible with minimal hardware. This contribution is pivotal for the development of socially adaptive robots that can adjust their behavior based on a user’s internal state. Kobashi’s work underscores a vision where robots become empathetic companions in daily life, moving beyond mere tools to partners that understand us. His research has implications for assistive robotics, mental health monitoring, and intuitive human-machine interfaces, making him a key figure in the drive toward emotionally intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Estimating subjective assessments using a simple biosignal sensor8 citations · 2012
- 2Estimating Subjective Assessments Using a Simple Biosignal Sensor5 citations · 2012