Shigenori Sano
Papers
24
Total Citations
299
H-Index
9
About
Shigenori Sano is a robotics researcher whose work spans mobile robot navigation, biped locomotion, and human-robot interaction. He is perhaps best known for his pioneering contributions to smooth trajectory generation using Bézier curves, with his 2016 paper on real-time trajectory planning for nonholonomic mobile robots accumulating over 100 citations — a landmark achievement that has significantly influenced autonomous navigation research. Building on this foundation, Sano developed vision-based obstacle avoidance systems and real-time path planning algorithms for teleoperated and autonomous platforms, establishing Bézier curve methods as a practical tool for mobile robotics. Beyond navigation, Sano has made meaningful contributions to biped robot design, proposing the innovative point-contact type foot with springs (PCFS) system to enable stable walking on rough terrain. His applied research extends into healthcare robotics, most notably through the development of Terapio, a medical rounds-assistance robot designed to support hospital staff with materials delivery and patient data recording. His work on swarm robot control, collision avoidance for human-operated systems, and soft human-robot physical interaction further demonstrates a career dedicated to making robots safer, smarter, and more capable of operating alongside people in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Collision avoidance control for a human-operated four-wheeled mobile robot20 citations · 2014
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- 7Medical Round Robot – Terapio –16 citations · 2014
- 8Design of point-contact type foot with springs for biped robot12 citations · 2010
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