Takeshi Yasaka

Papers

Total Citations

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About

Takeshi Yasaka is a pioneering researcher at the intersection of robotics and sports science, best known for developing innovative human-robot interaction methods for athletic training. His most significant contribution is the concept of "self-coaching with humanoid robots," where athletes use small, inexpensive humanoid robots to analyze and improve their own technique. In his seminal 2016 paper (4 citations), Yasaka proposed a system using two robots—one reproducing the target player's motion and another serving as a reference—enabling athletes to coach themselves by observing and modifying the robot's movements. He further refined this approach for volleyball forearm passes in his 2017 work (2 citations), opening new possibilities for sports training through human-robot interaction. Yasaka has also contributed to sports equipment science, notably measuring the coefficient of restitution, ball spin, and friction between table tennis tables and balls across different manufacturers (2013, 3 citations). His work bridges robotics, biomechanics, and sports pedagogy, offering cost-effective, accessible training tools that empower athletes to self-correct their form. Though his citation counts are modest, Yasaka's novel integration of humanoid robots into sports coaching represents a creative and forward-thinking approach to skill development.