Zentaro Nemoto
Papers
2
Total Citations
32
H-Index
2
About
Zentaro Nemoto is a robotics researcher whose work focuses on developing robust vision-based systems for human-robot interaction, particularly in person-following mobile robots. His key research areas include computer vision, autonomous navigation, and distributed robotic systems. Nemoto’s most significant contribution is a vision-based person-following module designed for mobile robots operating in both indoor and outdoor environments. His 2009 paper, which has garnered 29 citations, proposes a method that combines a color stereo camera and a laser range sensor to detect and follow a person robustly under varying illumination conditions. The technique leverages disparity images and HSV color spaces to improve detection accuracy. In a related work, Nemoto validated the use of RT Middleware, a distributed object technology, to implement this person-following algorithm in real-world settings, demonstrating its effectiveness beyond controlled lab conditions. His research addresses critical challenges in autonomous robotics, such as handling dynamic lighting and complex environments, making his work foundational for applications in service robots, assistive technology, and autonomous navigation. Nemoto’s contributions have helped advance the practical deployment of vision-based person tracking systems.
Research Focus
Key Achievements
Top Papers
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- 2