Papers
3
Total Citations
14
H-Index
2
About
Michito Matsumoto is a robotics researcher whose work centers on visual servoing, robot manipulator control, and intelligent teleoperation systems. His primary contributions lie in developing innovative methods for controlling redundant robot manipulators using vision-based feedback, with a particular emphasis on enabling robots to navigate complex environments while avoiding obstacles. Matsumoto's most influential work introduces a redundancy control framework that leverages image features to simultaneously guide a manipulator's end-effector to a target position while dynamically avoiding obstacles — a challenging problem in real-world robotic deployment. His 2002 paper on this topic has garnered 8 citations, building upon foundational ideas he first proposed in a 1999 study that accumulated 4 citations, demonstrating a sustained research trajectory in this specialized domain. Beyond manipulation control, Matsumoto extended his expertise to practical applications, contributing to the development of a vision-based teleoperation system designed for utility infrastructure tasks such as band attachment around telephone poles. This work highlights his interest in translating theoretical robotics research into reliable, cost-effective real-world systems. Together, his publications reflect a focused and methodical research career aimed at making robotic systems smarter, safer, and more adaptable in unstructured environments.
Research Focus
Key Achievements
Top Papers
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