Toru Kurenuma

Papers

Total Citations

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About

Toru Kurenuma is a pioneering figure in the field of robotic force control, with a focused career dedicated to advancing automated grinding and surface finishing technologies. His primary research areas include force-controlled robotics, adaptive control algorithms, and precision manufacturing. Kurenuma's most significant contribution is the development of the "gradient prediction method," a novel algorithm that dramatically improves contour following in force-controlled robotic grinding. This innovation, detailed in his 2002 paper "Force controlled robot for grinding" (32 citations), allows robots to anticipate workpiece surface variations and adjust force in real-time, reducing errors and enhancing surface quality. His earlier foundational work in 1992 laid the groundwork for these advances, establishing principles for integrating force sensors into industrial grinding robots. While his citation counts reflect a specialized niche, Kurenuma's impact is deeply felt in manufacturing sectors requiring high-precision finishing, such as aerospace and automotive industries. His work represents a critical bridge between theoretical control systems and practical industrial automation, making him a respected authority in force-controlled robotic applications.