Takuya Matsumoto

The University of Tokyo, Utsunomiya University

Papers

Total Citations

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About

Takuya Matsumoto is a robotics researcher whose work bridges the gap between high-performance computing and intelligent robotic systems. His primary research areas include robot-assisted surgery, FPGA (Field-Programmable Gate Array) architecture for robotics, and hardware-software co-design for autonomous systems. Matsumoto’s major contributions center on developing computationally efficient, low-power solutions for complex robotic tasks. His most cited work, “A Robot Assisted Hip Fracture Reduction with a Navigation System” (2008, 15 citations), demonstrates his early impact in medical robotics, where he integrated navigation technology to enhance surgical precision. He is also recognized for pioneering architecture exploration methods using ROS-compliant FPGA components (2016, 13 citations), enabling robots to process large sensor data streams with superior performance-per-watt compared to traditional CPUs. His 2019 paper on automatic generation tools for FPGA components (5 citations) further advanced accessibility, allowing developers to rapidly prototype intelligent robots without deep hardware expertise. Through these innovations, Matsumoto has contributed to making robots faster, more energy-efficient, and easier to deploy in real-world applications, from surgery to autonomous systems.