Papers
29
Total Citations
574
H-Index
9
About
Ryuichi Yokogawa is a prominent robotics researcher whose career has been defined by pioneering contributions to human-robot cooperative systems, with a particular focus on impedance control, robot stability, and physical human-robot interaction. His most celebrated work, "Variable Impedance Control Based on Estimation of Human Arm Stiffness for Human-Robot Cooperative Calligraphic Task" (2003), has garnered over 257 citations and introduced a landmark approach to dynamically adjusting robot impedance in response to the stiffness of a human operator's arm — a critical challenge in ensuring safe and stable collaboration. Yokogawa's broader research agenda addresses the fundamental stability and control problems that arise when humans and robots share physical tasks, spanning applications from precision peg-in-hole assembly to artistic calligraphy. His development of virtual stiffness controllers and switching position/torque control strategies has meaningfully advanced the field's understanding of how robots can adapt intelligently to human intent. His rigorous stability analyses, published across multiple venues, further cemented the theoretical foundations of cooperative impedance control. With a body of work spanning over two decades and accumulating nearly 500 citations, Yokogawa's research remains essential reading for engineers and scientists working at the intersection of robotics, human factors, and intelligent control systems.
Research Focus
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Top Papers
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- 10Recognition of state in peg-in-hole by fuzzy schema.9 citations · 1991