Papers
53
Total Citations
639
H-Index
14
About
Koichi Hashimoto is a prominent robotics researcher whose work spans visual servoing, high-speed robotic control, microrobotics, and human-robot collaboration. His foundational contributions to nonlinear model-based visual control, established as early as 1993, laid critical theoretical groundwork for 3D visual tracking and dynamic servo systems that continue to influence the field. One of his most celebrated achievements involves microrobotic visual control of motile cells — most notably guiding *Paramecium caudatum* as microscale biological robots — a pioneering 2005 study that has garnered over 80 citations. Hashimoto has also demonstrated a flair for bridging playful complexity and rigorous engineering, developing robotic systems capable of yo-yo manipulation and high-speed dynamic catching using multifingered hands operating at kilohertz visual feedback rates. His later research addresses practical industrial challenges, including robust pose estimation algorithms for robotic bin picking and fast prediction of human reaching motions to enable safe human-robot cooperation. With work spanning foundational theory to cutting-edge application, Hashimoto's cumulative citation record reflects sustained, wide-ranging impact across both academic robotics and industrial automation communities.
Research Focus
Key Achievements
Top Papers
- 1Microrobotic visual control of motile cells using high-speed tracking system81 citations · 2005
- 2Modeling and control of robotic yo-yo with visual feedback43 citations · 2002
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- 4Visual servoing with nonlinear observer33 citations · 2002
- 5Modeling and control of robotic yoyo with visual feedback31 citations · 1996
- 6Curve Set Feature-Based Robust and Fast Pose Estimation Algorithm25 citations · 2017
- 7Dynamic Visual Servoing with Nonlinear Model-Based Control22 citations · 1993
- 8Full 3D Visual Tracking with Nonlinear Model-Based Control19 citations · 1993
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