Yage Liu

Papers

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About

Yage Liu is a pioneering researcher in the field of physical human-robot interaction, with a focused expertise in variable impedance actuation and haptic communication. His major contributions center on developing biologically inspired manipulators that can dynamically adjust their mechanical properties to mimic human joint behavior. Liu’s most cited work, “Variable viscoelasticity handshake manipulator for physical human–robot interaction using artificial muscle and MR brake” (2019, 17 citations), introduces a novel joint system combining antagonized artificial muscles with a magneto-rheological fluid brake. This design uniquely replicates the variable viscoelastic characteristics of real human joints, enabling more natural and adaptive robotic handshakes. In his follow-up study (6 citations), Liu experimentally validated that perceived handshake firmness correlates with elbow joint stiffness, using EMG signals as a quantitative evaluation metric. This work bridges the gap between subjective human perception and objective robotic control parameters. Liu’s research has direct implications for assistive robotics, rehabilitation devices, and social robots requiring safe, intuitive physical interaction. By systematically investigating how variable stiffness conditions affect human-robot handshakes, he has laid foundational knowledge for designing robots that can communicate intent and emotion through touch.