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About

Xiaopeng Shen is a leading researcher in bio-inspired robotics and soft actuation, with a primary focus on the design, modeling, and control of tendon-sheath artificial muscles. His most impactful work, "Modeling of Novel Compound Tendon-Sheath Artificial Muscle Inspired by Hill Muscle Model" (45 citations), introduces a groundbreaking approach that mimics the biological Hill muscle model to overcome the limitations of conventional artificial muscles—such as small output, limited shrinkage, and slow response—making them more suitable for portable robot applications. Shen further advanced the field with "Noncollocated Position Control of Tendon-Sheath Actuated Slender Manipulator" (26 citations), addressing the severe nonlinearity and flexible structure challenges in precise control for surgical hands and rescue robots. His contributions extend to sensorless force control and muscle-like contraction control, as seen in his 2019 and 2021 works (19 and 10 citations, respectively), which enable more natural and efficient actuation. Shen’s development of a small clamper for tendon-sheath artificial muscle (2018) further demonstrates his commitment to practical, miniaturized robotic components. With a cumulative citation count exceeding 100, his research is pivotal for advancing compliant, high-power-to-weight actuators in medical and rescue robotics.