Minoru MATSUURA
Papers
1
Total Citations
2
H-Index
1
About
Minoru Matsuura is a pioneering researcher in the field of robotic control and visual servoing, with a particular focus on redundancy resolution and obstacle avoidance in dynamic environments. His most cited work, "Control a Redundant Robot Using Visual Information: Avoidance Control of a Moving Obstacle" (2002), introduced a novel control method that leverages visual impedance to enable redundant robots to avoid moving obstacles—a significant advancement over the static obstacle avoidance typical of industrial systems. By employing two CCD cameras to construct stereovision, Matsuura demonstrated how real-time visual feedback could guide a robot’s redundant degrees of freedom to safely navigate around unpredictable hazards. This work laid foundational concepts for integrating vision and control in high-speed, reactive robotic systems. Though his citation count is modest, Matsuura’s contributions are notable for their forward-looking approach to human-robot collaboration and safety in unstructured environments. His research remains relevant to modern developments in autonomous robotics, where visual perception and redundancy are key to adaptive, real-time decision-making.
Research Focus
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Top Papers
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