Papers

3

Total Citations

9

H-Index

2

About

Makoto Kobayashi is a researcher specializing in human-robot interaction, ubiquitous computing, and assistive technologies. His work focuses on developing practical systems that enable robots and smart devices to perceive and interact with humans and their environments more effectively. A key contribution is his real-life test of a face recognition system for a dialogue interface robot in ubiquitous environments, demonstrating how decomposed eigenface methods can function reliably outside the lab (cited 5 times). He has also advanced indoor localization by proposing a precise method using dual-facing cameras on smart devices via visible light communication (VLC), a technique that can assist visually impaired individuals with navigation and enable mobile-robot control (cited 2 times). Additionally, Kobayashi has explored social robotics, investigating how to express the personality of a humanoid robot as a talking partner in elementary school classrooms, contributing to the design of more engaging and socially aware educational robots (cited 2 times). His interdisciplinary approach bridges computer vision, robotics, and human-centered design, with applications ranging from assistive navigation to educational technology.

Research Focus

Key Achievements

2
H-Index
3
Papers
9
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Real-life Test of Face Recognition System for Dialogue Interface Robot in Ubiquitous Environments
5 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Okayama University, Tsukuba University of Technology, Tokyo Gakugei University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago