Mamoru Minami
Papers
2
Total Citations
5
H-Index
2
About
Mamoru Minami is a robotics researcher whose work centers on visual servoing, hand-eye coordination systems, and three-dimensional object recognition for robotic manipulation. His research addresses one of the fundamental challenges in robotics: enabling machines to perceive and interact with dynamic environments in real time with high precision. Among his notable contributions is the development of a Motion-Feedforward (MFF) method, introduced in his 2008 paper "On-line motion-feedforward pose recognition invariant for dynamic hand-eye motion," which improves visual recognition dynamics that are typically degraded by disturbing hand-eye motion during robotic visual servoing. This work demonstrates a sophisticated integration of control theory and computer vision to enhance robotic performance in unstructured conditions. Minami has also applied his expertise to socially critical domains. His 2015 research proposed a decontamination robot utilizing 3D-MOS (Three Dimensional Move on Sensing) technology with hand-eye dual cameras, aimed at reducing radiation exposure risks during hazardous cleanup operations. This work highlights his commitment to translating advanced robotic perception into real-world humanitarian applications. While his citation counts remain emerging, his contributions to visual servoing and applied robotics represent a meaningful foundation for researchers working at the intersection of robot control and machine vision.
Research Focus
Key Achievements
Top Papers
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- 2