Takahito Shimizu
Shizuoka University, Research Organization of Information and Systems
Papers
4
Total Citations
30
H-Index
3
About
Takahito Shimizu is a robotics researcher whose work centers on autonomous mobile robots, human-robot interaction, and real-time computer vision. His primary contributions lie in developing systems that enable robots to perform complex, human-like tasks such as following a person and autonomously returning to a starting location. Shimizu’s most-cited paper (10 citations) introduces a mobile robot that uses a laser range finder and camera to achieve these functions, while his related work on HOG-based person following and map generation (9 citations) further refines this capability. He has also made notable advances in humanoid robotics, creating a real-time stereo facial feature tracking algorithm (8 citations) that allows a humanoid robot head to mimic human mouth movements, enabling more natural human-robot interaction. This work, presented in 2006, demonstrates his early engagement with the challenges of real-time, robust tracking under varying geometry and illumination. Across his publications, Shimizu’s research consistently addresses the practical integration of sensors and algorithms to make autonomous robots more responsive and useful in human environments. His work on person-following and autonomous returning systems, in particular, has direct applications in service robotics, such as guide robots and automated shopping carts.
Research Focus
Key Achievements
Top Papers
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