Kazuaki Itoya

Tokyo Denki University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Kazuaki Itoya is a robotics researcher specializing in autonomous mobile systems and human-robot interaction, with a particular focus on sensor-driven navigation. His key research areas include thermal sensor applications, person-following algorithms, and low-cost autonomous robot design. Dr. Itoya’s major contribution lies in developing a novel human tracking algorithm that leverages thermal array sensors—capable of acquiring 64-pixel thermal images—to enable small autonomous mobile robots to follow individuals without relying on traditional cameras. This work, detailed in his 2024 paper “Person Following Algorithm with Pixel-Area Addition Method of Thermal Sensors for Autonomous Mobile Robots,” addresses critical challenges in privacy-sensitive and low-visibility environments. By proposing an optimal control method that uses pixel-area addition, he has advanced the feasibility of compact, camera-free robotic systems. Though early in its citation impact, this research represents a promising step toward more accessible and discreet assistive robots. Dr. Itoya’s work is particularly notable for its practical approach to overcoming hardware limitations, offering a scalable solution for applications in healthcare, logistics, and service robotics where cost and privacy are paramount.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Person Following Algorithm with Pixel-Area Addition Method of Thermal Sensors for Autonomous Mobile Robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tokyo Denki University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago