Papers

29

Total Citations

167

H-Index

7

About

Takeshi Tsuchiya is a robotics and control systems researcher whose career spans several decades of innovation in intelligent robot control, sensor integration, and motion planning. His work is perhaps best known for its contributions to sensor signal processing, particularly his series of studies on estimating smoothed and differential values from ultrasonic wave sensors using sliding mode systems — work that garnered over 44 citations and addressed a fundamental challenge in robot environmental perception. Tsuchiya has also made significant contributions to optimal digital servo systems, fuzzy trajectory planning, and preview control methods for robot manipulators, reflecting a deep commitment to precision motion control across diverse robotic platforms. His research on a horizontal bar gymnastic robot demonstrated creative application of nonlinear dynamics and parametric excitation for underactuated systems, while his more recent work on tiltrotor UAV gait analysis — introducing the novel concept of "UAV gait" to constrain tilting angles — shows continued relevance in modern autonomous vehicle research. Across his career, Tsuchiya has consistently bridged theoretical control design with practical robotic implementation, making his body of work valuable reading for students and researchers working at the intersection of control theory, robotics, and autonomous systems.

Research Focus

Key Achievements

7
H-Index
29
Papers
167
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Research on estimating smoothed value and differential value by using sliding mode system
44 citations · 2003
📈 Most Prolific Year: 2005 (5 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Hokkaido University, The University of Tokyo, Hokkaido University of Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago