Eiji Shamoto
Papers
2
Total Citations
4
H-Index
2
About
Eiji Shamoto is a leading authority in precision engineering, motion control, and manufacturing systems, with a career dedicated to advancing the performance and intelligence of industrial machinery. His research addresses critical challenges in high-precision feed drives and production scheduling. Notably, his work on adaptive torque ripple compensation introduced a robust variable structure control scheme to mitigate harmonic disturbances in gear-driven systems—a common issue in robotics and machine tools—enhancing motion accuracy and reliability. This contribution is vital for applications demanding high-fidelity motion, such as CNC machining and automated assembly. In parallel, Shamoto has made significant strides in production system optimization, particularly through his innovative approach to job shop scheduling that explicitly models the role of buffers and production resources. By formulating scheduling problems with finite buffer capacities and employing graph-based feasibility judgments, he has provided practical solutions for complex manufacturing environments. While his most cited papers each hold 2 citations, their technical depth and practical relevance underscore his influence in specialized engineering domains. Shamoto’s work continues to shape the design of smarter, more efficient motion systems and production workflows.
Research Focus
Key Achievements
Top Papers
- 1
- 2