Nagoya University
🇯🇵 JP
Papers
1,449
Total Citations
25,118
H-Index
63
Researchers
1,071
About
Nagoya University has established itself as one of Japan's premier institutions for robotics, human-robot interaction, and intelligent systems research, with a research portfolio spanning decades of foundational and applied contributions. The university's work is defined by a remarkable breadth — from biomechanically inspired robot locomotion to medical robotics, assistive technologies, and cutting-edge AI integration. A signature strength lies in assistive and rehabilitation robotics. Nagoya's pioneering development of robotic exoskeletons controlled via electromyogram (EMG) signals, including shoulder-assist devices and gait restoration systems for spinal cord injury patients, has profoundly influenced the field of human-care robotics. Complementing this work, the university introduced the first general safety evaluation framework for human-care robots — a contribution still referenced globally. Their intelligent cane robot and omnidirectional mobile platforms further underscore a sustained commitment to enabling independent living for elderly and disabled populations. Beyond assistive systems, Nagoya has made landmark contributions to biologically inspired robotics through its brachiation robot research, modular self-organizing robotic architectures (CEBOT), and neural network-based manipulator control — work that anticipated many trends in modern learning-based robotics. Their OpenVSLAM framework has become a widely adopted tool in the autonomous systems community, while recent reviews on large language models for human-robot interaction signal active engagement with the frontier of AI-driven robotics. The institution's influence extends into medical and micro-robotics, including continuum robots for minimally invasive surgery and magnetically actuated on-chip robots for single-cell manipulation. With highly cited contributions across mechatronics, SLAM, odor-source localization, and plasma medicine, Nagoya University offers prospective students and collaborators an exceptionally diverse and impactful research environment backed by decades of demonstrated excellence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Neuro-Fuzzy Control of a Robotic Exoskeleton With EMG Signals361 citations · 2004
- 3
- 4OpenVSLAM284 citations · 2019
- 5
- 6Sliding-Mode Velocity Control of Mobile-Wheeled Inverted-Pendulum Systems241 citations · 2010
- 7Safety Evaluation Method of Design and Control for Human-Care Robots233 citations · 2003
- 8Large language models for human–robot interaction: A review224 citations · 2023
- 9Trajectory control of robotic manipulators using neural networks214 citations · 1991
- 10A brachiating robot controller211 citations · 2000
Faculty & Researchers
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