RuiYing Su

Papers

Total Citations

H-Index

About

RuiYing Su is a researcher advancing the frontier of soft robotics, with a particular focus on human-robot interaction and therapeutic applications. Their most-cited work, "Design and modeling of a driving system for soft massage robot" (2021, 7 citations), exemplifies their core contribution: developing novel actuation and control strategies for compliant, safe robots intended for direct physical contact with humans. This paper provides foundational modeling for pneumatic or tendon-driven systems that enable gentle, adaptive pressure—critical for medical and wellness robotics. Su’s research bridges mechanical design and system dynamics, creating robots that can mimic human touch while ensuring user safety. Though early in their career, this work has already attracted attention from peers exploring soft actuators and rehabilitation devices. By tackling the challenge of precise, soft-force delivery, Su is helping to shape a future where robots assist in pain relief, stress reduction, and physical therapy. Their ongoing efforts promise to expand the capabilities of soft robots in clinical and home settings, making assistive technology more accessible and human-friendly.