Takeshi Tsujimura
Papers
20
Total Citations
171
H-Index
7
About
Takeshi Tsujimura is a pioneering roboticist whose research spans miniature locomotion, human-robot interaction, and augmented reality navigation. His most influential work, "A Miniature Mobile Robot Using Piezo Vibration for Mobility in a Thin Tube" (1993, 45 citations), introduced a novel piezo-driven robot with elastic fins that exploits differential friction to navigate confined tubular environments—a foundational concept for medical and inspection robotics. Tsujimura has also made significant contributions to intuitive robot control, developing systems that interpret hand-drawn laser patterns ("Sign-at-ease," 2011) and classify hand signs via forearm myoelectric signals (2012, 11 citations). In augmented reality, he proposed an infrared marker-based navigation system (2015, 14 citations) that enables complex robot guidance through projected pattern IDs, and later extended this to self-position estimation using road signs (2018). His work on a mathematical AIM model for robot vision with sleep-wake functions (2006, 10 citations) explores consciousness-inspired memory control. Across his career, Tsujimura has consistently addressed practical challenges in nonholonomic control, tunneling robot navigation, and human-robot interfaces, with his 1993 paper remaining a seminal reference in micro-robotics.
Research Focus
Key Achievements
Top Papers
- 1A Miniature Mobile Robot Using Piezo Vibration for Mobility in a Thin Tube45 citations · 1993
- 2Dynamics of mobile legs suspended from wire15 citations · 1997
- 3Augmented reality robot navigation using infrared marker14 citations · 2015
- 4Hand Sign Classification Employing Myoelectric Signals of Forearm11 citations · 2012
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- 7Electromagnetic system navigating tunneling robots8 citations · 2002
- 8Shape recognition of laser beam trace for human–robot interface7 citations · 2013
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