Fumiaki Takagi

Osaka University of Human Sciences, The University of Osaka

Papers

Total Citations

H-Index

About

Fumiaki Takagi is a robotics researcher whose work centers on intelligent robot systems, machine vision, and skill acquisition in autonomous mobile platforms. His research focuses on enabling robots to replicate human athletic skills, particularly through the development of systems capable of performing sports-related tasks such as ball lifting — a foundational practice in sports like tennis and soccer. Takagi's most recognized contribution is his investigation of ball lifting tasks using mobile robots equipped with monocular vision systems, a technically demanding challenge given the constraints of single-camera configurations. His work introduced the GAG (Gaining Angle of Gaze) strategy, an elegant approach to tracking and intercepting balls moving through three-dimensional space that demonstrates robustness against camera calibration errors. This strategy is notable for enabling accurate trajectory control without the complexity of stereo vision setups. His most-cited paper from 2006 has accumulated 6 citations, with related works contributing further to a cohesive body of research that bridges robotics, computer vision, and human motor learning. By studying how robots acquire and refine skills, Takagi's research offers valuable insights into modeling human learning processes — work with meaningful implications for both robotics education and the broader field of human-robot interaction.