Papers
123
Total Citations
1,588
H-Index
20
About
Kiyoshi Ohishi is a distinguished researcher whose work has profoundly shaped the fields of motion control, haptics, and human-robot interaction. His research centers on advanced control systems for robotic applications, with particular expertise in force estimation, bilateral control, and sensor fusion methodologies. Ohishi's most influential contribution — his 2011 work on Kalman filter-based estimation of action/reaction forces for bilateral haptic control (110 citations) — established a foundational framework for sensorless force feedback in teleoperation systems. His pioneering development of hybrid force-position control without physical force sensors, alongside disturbance observer techniques, has enabled more practical and cost-effective robotic implementations across industrial and medical domains. Ohishi has made significant strides in human-robot collaboration, designing compliant systems that safely adapt to human stiffness and dynamic properties, as demonstrated through his twin direct-drive motor and variable power assist research. His modal space design approach for multi-robot coordination further extended these principles to complex, multi-degree-of-freedom systems. With over 630 cumulative citations across his top works and contributions spanning flexible robot control, vibration suppression, and haptic skill transmission, Ohishi's research continues to serve as essential reading for robotics engineers and control systems researchers worldwide.
Research Focus
Key Achievements
Top Papers
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- 4Hybrid control of force and position without force sensor66 citations · 2003
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- 6Modal system design of multi-robot systems by interaction mode control59 citations · 2006
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- 10Disturbance Observer and Kalman Filter Based Motion Control Realization43 citations · 2017