Papers

132

Total Citations

3,085

H-Index

23

About

Seiichiro Katsura is a leading researcher in robotics and motion control, whose work has fundamentally advanced our understanding of force sensing, haptic systems, and bilateral control in robotic applications. His research centers on disturbance observer-based control strategies, enabling robots to interact intelligently and safely with their environments without relying solely on conventional, noise-prone force sensors. His landmark 2007 paper on force sensing modeling and disturbance observer validation has garnered nearly 400 citations, establishing a foundational framework that remains widely referenced across robotics and control engineering communities. Katsura's contributions extend into haptic technology, where his multilateral control frameworks have enabled sophisticated applications including haptic forceps for medical mechatronics and skill-acquisition training systems—areas that carry significant real-world implications for surgery and rehabilitation. His four-channel bilateral control architecture, explored across multiple highly cited works, elegantly unifies position and force control to allow intuitive human-robot cooperation. Additional contributions include human-cooperative wheelchair design and Kalman filter-based force estimation for bilateral systems. With a body of work accumulating well over 1,800 citations, Katsura has positioned himself as an indispensable voice in advanced motion control, particularly at the intersection of robotics, medical devices, and haptic human-machine interaction.

Research Focus

Key Achievements

23
H-Index
132
Papers
3,085
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Modeling of Force Sensing and Validation of Disturbance Observer for Force Control
399 citations · 2007
📈 Most Prolific Year: 2007 (13 Papers)
🤝 Key Collaborators: 80
🏛 Institutions: Keio University, Nagaoka University of Technology, Nagaoka University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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