Yuya Nagamatsu
Papers
14
Total Citations
159
H-Index
7
About
Yuya Nagamatsu is a leading roboticist whose work bridges humanoid robotics, musculoskeletal systems, and real-world autonomous control. His research centers on whole-body teleoperation, torque-based stabilization, and learning-driven locomotion for humanoid and legged robots. Nagamatsu’s most impactful contribution is the **TABLIS** bilateral teleoperation system (56 citations), which introduced a seat-type whole-body exoskeleton cockpit for stable bipedal control in 2D and 3D spaces. He also pioneered distributed torque estimation for gear-driven humanoids, enabling low-latency variable stiffness control without torque sensors—a breakthrough for robust force control. His work on the **TWIMP** two-wheel inverted musculoskeletal pendulum (9 citations) and the **RAMIEL** monopedal jumper (11 citations) demonstrates his commitment to creating platforms that learn through physical contact. Notably, Nagamatsu has advanced autonomous driving with musculoskeletal humanoids, leveraging their flexible, sensor-rich bodies for complex environmental interaction. With over 150 total citations and a portfolio spanning hardware design, FPGA-GPU hybrid architectures, and learning-based software, Nagamatsu is shaping the next generation of robots that can safely and adaptively operate in the real world.
Research Focus
Key Achievements
Top Papers
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- 6NanoBridge-Based FPGA in High-Temperature Environments9 citations · 2017
- 7Torque based stabilization control for torque sensorless humanoid robots8 citations · 2017
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