Yoshihiro Watanabe
Papers
8
Total Citations
105
H-Index
6
About
Yoshihiro Watanabe is a pioneering researcher in high-speed vision systems and their practical applications in robotics and human-machine interaction. His work centers on developing vision technologies capable of capturing, processing, and responding to visual information at frame rates far exceeding conventional video speeds, enabling real-time intelligence in dynamic environments. Watanabe's most influential contributions include foundational work on high-speed 3D sensing using three-view geometry with segmented patterns, architectures for high-speed vision systems, and their integration into robotic platforms — collectively accumulating over 100 citations. His research has produced landmark systems capable of tracking objects moving at sonic velocities and enabling robots to respond with superhuman reaction times. A particularly notable achievement is his development of super-low-latency telemanipulation systems, in which high-speed vision and multifingered robot hands are combined to create response times below the threshold of human visual perception. His 2021 work on telemanipulated robot hand systems further demonstrates the translational impact of his research, bridging foundational sensing technologies with practical applications in teleoperation and assistive robotics. Watanabe's body of work represents a coherent and ambitious research vision: transforming high-speed vision from a specialized imaging tool into the perceptual backbone of intelligent, responsive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1High-speed 3D sensing with three-view geometry using a segmented pattern23 citations · 2015
- 2Architectures and applications of high-speed vision20 citations · 2014
- 3High-Speed Vision and its Application Systems19 citations · 2014
- 4Development of a High-Speed, Low-Latency Telemanipulated Robot Hand System14 citations · 2021
- 5Dynamic Intelligent Systems Based on High-Speed Vision12 citations · 2019
- 6
- 7High-speed 3D Sensing with Three-view Geometry Using a Segmented Pattern6 citations · 2016
- 8