Binghao Mao

University of Shanghai for Science and Technology

Papers

Total Citations

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About

Binghao Mao is a rising researcher at the forefront of intelligent robotics and smart actuator systems, with a focused expertise in shape memory alloy (SMA) technology and variable stiffness mechanisms for rehabilitation applications. His work bridges the critical gap between theoretical modeling and practical control in next-generation robotic systems. Mao’s most-cited paper, "Modeling and Position Control Simulation Research on Shape Memory Alloy Spring Actuator" (2022, 22 citations), provides foundational models for SMA actuators—devices prized for their low voltage, high power-to-weight ratio, and silent operation in aerospace, medical, and robotics fields. Complementing this, his research on "Design and torque control based on neural network PID of a variable stiffness joint for rehabilitation robot" (2022, 10 citations) introduces an innovative joint design that leverages neural network-based PID control to achieve intrinsic compliance and precise torque modulation for upper limb therapy. By integrating adaptive control algorithms with compliant actuation, Mao is directly addressing the safety and adaptability requirements of human-robot interaction. His contributions are particularly notable for advancing rehabilitation robotics, where variable stiffness joints promise more natural and effective patient therapy. With a growing citation record, Binghao Mao is establishing himself as a key contributor to the development of safer, more intelligent robotic systems for healthcare and beyond.