T. Teshima

Papers

Total Citations

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About

T. Teshima is a pioneering researcher in the field of hyper-dynamic robotic manipulation, with a specific focus on replicating and understanding human motion control in ultra-high-speed actions. Their major contributions center on the development of a novel golf swing robot designed to simulate the complex, multi-step acceleration and deceleration skills inherent in expert human performance. By employing a recurrent artificial neural network (ANN) to learn control based on a direct dynamics model, Teshima’s work bridges the gap between biomechanics and advanced robotics, offering a framework for machines to execute tasks requiring extreme precision and speed. Their most cited paper, "A new golf swing robot to simulate human skill—Learning control based on direct dynamics model using recurrent ANN" (2006, 8 citations), along with foundational work on controlling the robot while hitting a ball (2002, 2 citations), has laid the groundwork for future research into hyper-dynamic manipulation. Though the citation counts are modest, Teshima’s focused investigation into the nuances of human athletic skill—such as the timing of acceleration and deceleration—represents a unique and valuable contribution to the robotics and control systems community, inspiring new approaches to teaching robots complex, high-speed tasks.