Kouki TAKEDA
Papers
3
Total Citations
6
H-Index
2
About
Kouki Takeda is a pioneering researcher in the field of robotic directional control, with a focused expertise in the development of autonomous guidance systems for small-diameter tunneling robots. His work addresses a critical challenge in underground construction: replacing the operator’s reliance on intuition and experience with precise, automated control. Takeda’s major contributions include the creation of a simplified dynamic model for directional correction, which he validated using the least squares method, and the implementation of an optimal regulator for automatic steering. He further advanced the field by integrating a neural network for autotuning feedback gains, enabling the robot to adapt its control parameters in real time. Although his most-cited papers—published between 1992 and 1997—each hold 2 citations, they represent foundational work in the niche domain of telecom conduit construction. Takeda’s research is notable for its practical application, directly improving the efficiency and accuracy of underground cable installation. His legacy lies in bridging classical control theory with emerging neural network techniques, laying the groundwork for modern autonomous tunneling systems.
Research Focus
Key Achievements
Top Papers
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