Yoshihiro Koketsu
Papers
2
Total Citations
42
H-Index
2
About
Yoshihiro Koketsu is a leading researcher in network robotics and human-robot interaction, with a focus on integrating vision sensors and autonomous systems to enable seamless collaboration between humans and robots. His pioneering work on network robot systems, which connect various types of robots via ubiquitous networks, has laid the foundation for interactive robots that coexist with people in everyday environments. Koketsu’s most cited paper (2006, 32 citations) introduces a tangible system combining a mobile robot with embedded vision sensors to recognize human behaviors, demonstrating how unconscious cameras and visible robots can work together to interpret and respond to human actions. His 2008 follow-up study (10 citations) further refines these techniques, advancing the field of ambient intelligence. Koketsu’s contributions have significantly impacted the development of smart environments, where robots assist humans without intrusive monitoring. His work is essential for students and researchers exploring human-aware robotics, sensor networks, and the future of collaborative automation.
Research Focus
Key Achievements
Top Papers
- 1Recognizing human behaviors with vision sensors in a network robot system32 citations · 2006
- 2