Ling Mao

Beihang University, Shanghai Jiao Tong University

Papers

Total Citations

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About

Ling Mao is a pioneering researcher in soft robotics and micro-robotic systems, with a focus on variable stiffness actuators and multi-robot localization. Her most influential work introduces a soft robotic gripper embedded with low-melting-point alloy (LMPA), which enables on-demand stiffness modulation through Joule heating—a breakthrough that bridges the gap between soft and rigid robotics. This paper has garnered 46 citations, underscoring its impact on adaptive manipulation technologies. In earlier work, Mao developed a relative localization method for multiple micro robots using only simple infrared sensors and a compass, achieving robust positioning with minimal hardware. This approach, cited 20 times, addresses critical challenges in swarm robotics and MEMS-based actuation. Her contributions are notable for their practical simplicity and scalability, advancing both soft grippers for delicate tasks and cooperative micro-robot systems. Mao’s research continues to inspire innovations in medical robotics and automated assembly, where adaptive stiffness and precise multi-agent coordination are essential.