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About

Zhengshi Liu is a pioneering researcher in robotics, specializing in sensor design, collision detection, and soft actuation for human-robot interaction. His major contributions span three interconnected domains: six-axis force sensors, robot safety systems, and soft pneumatic actuators for rehabilitation. Liu’s most influential work, "Design of a Novel Six-Axis Wrist Force Sensor" (2018, 33 citations), introduced a floating beam elastic body that dramatically improves dynamic performance without sacrificing sensitivity—a breakthrough for precision robotic manipulation. Building on this, his collision detection algorithm (2022, 17 citations) integrates continuous friction modeling with force/position hybrid control, offering a practical solution for industrial robot safety. In soft robotics, Liu’s wavy nonrotating pneumatic actuator (2023, 13 citations) and particle-reinforced silicone rubber actuators (2022, 8 citations) advance hand rehabilitation technology by enhancing durability and compliance. His early work on artificial neural networks for inertial parameter identification (2006) laid foundational groundwork. With over 70 total citations, Liu’s research directly addresses critical challenges in robot safety, sensor accuracy, and therapeutic soft robotics, making him a key figure in bridging theoretical design with real-world robotic applications.