Daisuke Matsuura
Tokyo Institute of Technology, Ehime University, The Ohio State University
Papers
22
Total Citations
271
H-Index
8
About
Daisuke Matsuura is a versatile robotics researcher whose work spans acoustic sensing, mechanism design, and novel actuation technologies. His early career made significant strides in robot audition, where he tackled the complex challenge of enabling humanoid robots to localize and extract sound sources in real-world environments. By applying scattering theory to head-related transfer functions, his work on simultaneous speech recognition and sound source localization garnered considerable attention, earning 84 and 61 citations respectively and establishing foundational methods for natural human-robot communication. Matsuura's research subsequently broadened into mechanical design and rehabilitation engineering, with notable contributions including a kinematic design for walking rehabilitation devices, underactuated chopstick-type grippers for meal-assistance robots, and cable-driven parallel robots for human-cooperative tasks. His more recent work pushes the frontier of smart actuator technologies, exploring shape memory alloy (SMA)-driven compliant actuators, scalable linear actuators, and even light-driven crystal-polymer hybrid systems — reflecting a keen interest in bio-inspired and soft robotics. His redundancy optimization methods for hyper-redundant robots further demonstrate his breadth across theoretical and applied robotics. Taken together, Matsuura's portfolio reveals a researcher committed to building robots that are safer, more adaptive, and genuinely useful in human-centered environments.
Research Focus
Key Achievements
Top Papers
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- 7Light-Driven Crystal–Polymer Hybrid Actuators9 citations · 2021
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