Papers
12
Total Citations
207
H-Index
6
About
H. Mayeda is a robotics researcher whose career has been defined by foundational contributions to the dynamics and control of robotic manipulator arms. Best known for pioneering work in robot identification methods, Mayeda's 1984 paper "A New Identification Method for Serial Manipulator Arms" garnered 123 citations and established a sequential estimation framework that became a benchmark in the field, later refined through subsequent experimental studies on industrial platforms such as the PUMA 560 and the direct-drive robot DARM-2. These efforts addressed the critical challenge of accurately estimating dynamic model parameters — essential for precise robot control — while reducing parameter error propagation across estimation stages. Beyond identification, Mayeda made meaningful contributions to hybrid position/force control and impedance control strategies, developing practical schemes applicable to constrained manipulation tasks such as crank turning and plate-pushing along surfaces. This work bridged theoretical modeling with real-world task execution, emphasizing robustness under uncertainty. Spanning more than two decades of publication, Mayeda's research reflects a sustained commitment to making robot manipulators more accurately modeled, reliably controlled, and practically deployable — providing tools and methodologies that continue to inform robotics researchers and engineers working on dynamic modeling and advanced manipulation today.
Research Focus
Key Achievements
Top Papers
- 1A New Identification Method for Serial Manipulator Arms123 citations · 1984
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- 4Task understanding of the crank turning9 citations · 2002
- 5Identification for a direct drive robot 'DARM-2'7 citations · 2002
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- 7Dynamic models of robot arm and its identification.4 citations · 1989
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- 9Motion/force/impedance control for robot tasks4 citations · 2002
- 10Position/Force/Impedance Control for Robot Tasks3 citations · 1992