Masami IWATSUKI
Hosei University, Yamagata University, E Ink (South Korea), Tohoku University
Papers
9
Total Citations
116
H-Index
5
About
Masami Iwatsuki is a robotics researcher whose work spans intelligent robot control, visual servoing, and engineering education technology. His most influential contributions lie in the domain of image-based visual servoing, where he addressed a fundamental limitation of classical Cartesian coordinate-based approaches — the notorious "camera retreat" problem. By reformulating visual servoing within a cylindrical coordinate system, and later introducing a shiftable origin variant, Iwatsuki developed more robust and geometrically intuitive frameworks for guiding robots to desired positions using only two-dimensional visual data. His 2005 paper on this topic has garnered 53 citations, establishing it as a significant reference in the visual servoing literature. Beyond visual control, Iwatsuki made early contributions to intelligent vehicle navigation, proposing fuzzy reasoning-based tracking controllers and neural network-driven obstacle avoidance and adaptive speed control systems throughout the 1990s. His work on performance evaluation of robot arms using controllability and observability Gramians reflects a deeper theoretical grounding in systems engineering. Later in his career, Iwatsuki turned his attention to remote experimentation platforms, developing Web-based systems that brought hands-on robot control exercises to distance learners — bridging cutting-edge robotics research with practical engineering education innovation.
Research Focus
Key Achievements
Top Papers
- 1A new formulation of visual servoing based on cylindrical coordinate system53 citations · 2005
- 2
- 3Target Point Tracking Control of Robot Vehicle by Fuzzy Reasoning11 citations · 1991
- 4Rotation-oriented visual servoing based on cylindrical coordinates6 citations · 2003
- 5Obstacle avoidance travel control of robot vehicle using neural network6 citations · 1996
- 6
- 7Adaptive Speed Control of a Robot Vehicle by Neural Networks5 citations · 1992
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- 9