Hiroshi MUKAI
Papers
2
Total Citations
17
H-Index
2
About
Hiroshi Mukai is a control systems researcher whose work centers on robust and adaptive control methodologies for robotic systems. His research focuses particularly on addressing the challenging problem of input torque uncertainty in robotic manipulators, a critical issue that affects the precision and reliability of real-world robotic applications. Mukai's most notable contributions involve the development of advanced control frameworks that tackle dead-zone effects in manipulator joints — nonlinear phenomena that can significantly degrade tracking performance. His 2007 work introduced a robust adaptive control strategy for link position tracking in robot manipulators where both the dead-zone model parameters and robot system parameters are treated as unknown, representing a practically realistic and technically demanding problem formulation. Building on this, his 2008 paper extended these ideas into an H∞ control framework, combining robustness guarantees with adaptive compensation for input torque uncertainties. Together, these papers have accumulated approximately 17 citations, reflecting a focused but meaningful contribution to the specialized field of robust robot control. His research is particularly valuable for engineers and researchers working on precision manipulation systems where actuator nonlinearities and parameter uncertainty must be rigorously addressed.
Research Focus
Key Achievements
Top Papers
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