Papers
2
Total Citations
5
H-Index
1
About
Yuzuru Sato is a robotics researcher whose work focuses on the control and development of soft and flexible robotic systems, particularly those using shape memory alloys (SMA) and pneumatic artificial muscles. His early, most-cited paper (2002, 4 citations) introduced a novel method for controlling a distributed SMA-net robot using a coupled oscillator system, demonstrating how a flexible network of actuators and nodes can be coordinated for adaptive movement. This foundational work contributed to the field of distributed robotic control and soft robotics. More recently, Sato has advanced into soft robot hand development, as seen in his 2024 study on an angle control system for pneumatic artificial muscles using AprilTag visual markers. This research aims to enable precise, vision-based control of soft actuators, with potential applications in safe, compliant manipulation. While his citation counts are modest, Sato’s contributions lie in pioneering control strategies for flexible, reconfigurable robots—an area of growing importance in human-robot interaction and assistive technology. His work bridges classical oscillator theory with modern soft robotics, offering practical pathways for building more adaptable and safer robotic systems.
Research Focus
Key Achievements
Top Papers
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