Papers
16
Total Citations
123
H-Index
5
About
Masahide Ito is a robotics researcher whose work centers on vision-based motion control, visual tracking, and the integration of computer vision with robotic systems. His most influential contribution, "Vision-based Motion Control for Robotic Systems" (2009, 32 citations), surveys advances in visual feedback control, demonstrating how camera-guided systems can dramatically enhance robot dexterity and adaptability across complex tasks. Alongside this, his early interdisciplinary work on rat-robot interaction (2002, 26 citations) explored novel frameworks for creature-machine communication, using animal subjects as proxies for understanding future human-humanoid relationships — a creative and forward-thinking approach that garnered significant attention. Much of Ito's subsequent research focuses on real-time visual tracking challenges, including compensating for motion delays in hand-eye robotic systems, controlling nonholonomic wheeled mobile robots using single cameras, and achieving robust tracking of fast-moving targets with stereo and binocular vision setups. His contributions to redundant manipulator kinematics and joint-limit avoidance further demonstrate a broad technical range. With a body of work spanning manipulation, mobile robotics, and bio-inspired systems, Ito has established himself as a thoughtful contributor to practical and theoretical problems in robotic perception and control.
Research Focus
Key Achievements
Top Papers
- 1Vision‐based motion control for robotic systems32 citations · 2009
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- 4Non-delayed visual tracking of hand-eye robot for a moving target object8 citations · 2009
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- 9Visual tracking control to fast moving target for stereo vision robot5 citations · 2010
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