Takahiro Mizoguchi
Papers
22
Total Citations
163
H-Index
6
About
Takahiro Mizoguchi is a robotics researcher whose work centers on haptic-based control systems, teleoperation, and human motion recognition — fields at the intersection of robotics, human-machine interaction, and medical technology. His most influential contributions involve leveraging bilateral control systems to capture and reproduce nuanced human motion using both position and force data. His 2012 paper on grasping motion recognition via DP pattern-matching (30 citations) and his 2014 work on elemental separation of haptic information (27 citations) have been particularly impactful, offering novel frameworks for encoding and interpreting human dexterity in robotic systems. Mizoguchi has also advanced motion-copying systems with variable impedance control, improving robot adaptability in dynamic environments. His work extends into surgical robotics, including the development of a 16-DOF telesurgical forceps robot with haptic feedback, addressing critical needs in minimally invasive surgery. Across his research portfolio, he has tackled practical challenges such as backlash compensation in geared drive systems and transparency limitations in teleoperation. With over 120 cumulative citations, Mizoguchi's contributions offer foundational tools for researchers pursuing more intuitive, human-like robotic systems in both industrial and medical applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Motion Expression by Elemental Separation of Haptic Information27 citations · 2014
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- 4Development of 16-DOF telesurgical forceps master/slave robot with haptics13 citations · 2010
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- 6Compensation of backlash for teleoperated geared motor drive systems9 citations · 2013
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