Nagaoka University of Technology

🇯🇵 JP

Papers

146

Total Citations

2,437

H-Index

24

Researchers

108

About

Nagaoka University of Technology has established itself as a world-class research hub for advanced motion control, haptics, and human-robot interaction, with a body of work that has fundamentally shaped how robots sense, respond to, and collaborate with their environments. Based in Niigata Prefecture, Japan, the university's robotics research group has built a distinguished reputation through rigorous theoretical contributions paired with practical engineering validation, accumulating well over 1,400 citations across its most influential works alone. The institution's research identity is anchored in force control and bilateral control systems, with landmark studies exploring the bandwidth limitations of force control and the realization of Newton's Law of Action and Reaction through multilateral control frameworks — papers that each drew nearly 200 citations and remain foundational references in the haptics community. Researchers here have been particularly innovative in developing sensorless control strategies, employing disturbance observers and Kalman filter-based estimation to extract rich environmental and force information without relying on costly dedicated sensors. This philosophy of intelligent, sensor-efficient control runs throughout their portfolio, from elastic-joint robots with hysteresis compensation to flexible robot arms governed by shear force feedback. Beyond manipulation, the group has extended its expertise to socially relevant applications including semi-autonomous wheelchair systems that adapt to unknown environments, and human-robot collaborative platforms that carefully account for human stiffness and dynamic properties. Their modal space design methodology and interaction mode control frameworks offer elegant mathematical tools for coordinating multi-robot systems. For prospective students and collaborators, Nagaoka University of Technology represents an environment where deep control theory meets compelling real-world application — an ideal destination for those passionate about pushing the boundaries of intelligent robotic systems.

Research Focus

Key Achievements

24
H-Index
146
Papers
2,437
Total Citations
108
Faculty & Researchers
🏆 Most Cited Paper
Analysis and experimental validation of force bandwidth for force control
198 citations · 2006
📊 Avg Citations/Paper: 17
📈 Most Prolific Year: 2015 (12)
🔬 Research Focus: Computer science, Artificial intelligence, Control (management), Control theory (sociology), Engineering, Robot

Top Papers

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Faculty & Researchers

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