Takayuki Nakagome

N.A.Software (United Kingdom)

Papers

1

Total Citations

7

H-Index

1

About

Takayuki Nakagome is a robotics researcher whose work focuses on autonomous mobile robots and human-robot interaction, with particular emphasis on public relations and guidance applications. His research integrates thermal imaging, stereo vision, and human recognition technologies to enable robots to navigate and interact naturally in populated environments. In his most-cited paper, "Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera" (2022, 7 citations), Nakagome addresses a critical limitation of conventional human recognition methods—namely, the difficulty of reliably detecting people using standard cameras or laser rangefinders. By leveraging stereo thermal cameras and facial aspect ratio analysis, his work enables robots to autonomously track and approach individuals for information delivery and monitoring tasks. This contribution is particularly significant for public-facing service robots operating in challenging lighting conditions. Nakagome’s research advances the practical deployment of socially interactive robots, bridging the gap between perception and autonomous behavior in real-world public spaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: N.A.Software (United Kingdom)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago