Kazunori Takashio

Keio University, Keio University Shonan Fujisawa

Papers

6

Total Citations

27

H-Index

4

About

Kazunori Takashio is a pioneering researcher in human-robot interaction, specializing in assistive robotics, telepresence systems, and emotion-aware communication technologies. His most significant contribution is the development of the Ex-Amp robot, an expressive robotic avatar that detects user emotions through facial recognition and enacts them to enhance communication for individuals with motor disabilities. This work, which has garnered 10 citations, addresses critical gaps in human-to-human interaction support. Takashio has also advanced telepresence robotics by blending real landscapes into video feeds to strengthen remote users' sense of presence, and he has tackled complex challenges in many-to-many human-robot interactions by designing schedulers that manage conversation interruptions based on emotional behaviors and social relationships. His research extends to sensor actuator network architectures, where he developed middleware and markup languages for distributed control systems. Notably, his recent work on face robots explores eye blink entrainment—a subtle but crucial aspect of non-verbal communication—demonstrating his commitment to making robots more natural and socially adept. With a career spanning foundational middleware to cutting-edge emotional robotics, Takashio’s work continues to shape how robots can serve as empathetic, communicative partners in daily life.

Research Focus

Key Achievements

4
H-Index
6
Papers
27
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Ex-amp robot: Expressive robotic avatar with multimodal emotion detection to enhance communication of users with motor disabilities
10 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Keio University, Keio University Shonan Fujisawa

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
    Ex-Amp Robot
    2 citations · 2016

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago