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About

Wenbo Yuan is a researcher at the forefront of soft robotics and human–robot interaction, with a focus on assistive technologies for rehabilitation and elderly care. His work centers on developing innovative actuation systems that combine mechanical simplicity with adaptive performance. Yuan’s most cited paper, “Finger Flexion and Extension Driven by a Single Motor in Robotic Glove Design” (2023, 17 citations), introduces a novel approach to soft robotic gloves that balances controllability and comfort—a key challenge in the field. He further advances actuator design in “Shear stiffening gel-enabled twisted string for bio-inspired robot actuators” (2024, 6 citations), where he presents a variable stiffness artificial muscle that overcomes limitations in force generation and range of motion. Complementing these hardware innovations, Yuan explores intent recognition in “Detection of Human Action Intention by Electromyography (EMG)” (2022, 6 citations), linking muscle signals to robotic control for intuitive wearable systems. His earlier work on robot pose estimation via object tracking (2017) demonstrates a broader interest in perception and autonomy. With a growing citation record and contributions that bridge materials science, control, and biomechanics, Yuan is shaping the next generation of adaptive, human-centered robots.