Ryuji Kobayashi
Papers
7
Total Citations
33
H-Index
3
About
Ryuji Kobayashi’s research sits at the intersection of robotics, human-robot interaction, and healthcare ICT, with a focus on designing intelligent systems that adapt to real-world social and physical environments. His early work pioneered the use of genetic algorithms and reinforcement learning for mobile robot re-formation, laying groundwork for adaptive multi-robot coordination. A standout contribution is his techno-sociological approach to museum guide robots, where he addressed the nuanced challenge of selecting appropriate visitors for interaction—a study that has garnered 10 citations and highlights his human-centered design philosophy. Kobayashi also advanced practical robotics with a Kinect-sensor-based navigation component for JAUS-compliant systems and a trimmer-type mowing robot, demonstrating versatility from service to agricultural applications. More recently, he has driven international collaboration, co-developing a shared research agenda for healthcare ICT in rehabilitation and daily living support between Japan and the Netherlands. His work on RSSI-based formation control and multi-object detection using range and color images further underscores his commitment to robust, sensor-driven autonomy. With a career spanning foundational algorithms to cross-cultural healthcare innovation, Kobayashi exemplifies how robotics can bridge technical precision and societal need.
Research Focus
Key Achievements
Top Papers
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- 7Development of a trimmer-type mowing robot2 citations · 2012