Makoto Iwasaki
Papers
24
Total Citations
354
H-Index
9
About
Makoto Iwasaki is a prominent researcher in motion control and robotics, with a particular focus on elastic-joint robots, nonlinear mechanical systems, and precision positioning. His work has fundamentally advanced the understanding and control of geared robotic drives, especially in addressing the challenges posed by hysteresis, friction, and torsional dynamics in industrial manipulators. Iwasaki's most influential contributions center on sensorless and observer-based control strategies for elastic-joint robots. His landmark 2015 paper introducing the "virtual torsion sensor" — which cleverly exploits motor torque and velocity signals already available in standard industrial robots — has garnered 95 citations and represents a practical, cost-effective breakthrough for real-world deployment. His closely related 2014 work on modeling and observing hysteresis torsion (71 citations) provided the theoretical foundation that underpins much of this research direction. Beyond joint nonlinearities, Iwasaki has made significant contributions to vibration suppression, high-performance positioning for flexible multi-link manipulators, event-triggered adaptive control, and GA-based auto-tuning for industrial robot controllers. His research consistently bridges rigorous theoretical development with tangible industrial applicability, making him a valuable voice for both academic researchers and practicing engineers seeking to push the boundaries of precision robotic motion control.
Research Focus
Key Achievements
Top Papers
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