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About

Quanliang Cao is a pioneering researcher in the field of magnetic soft robotics, with a focus on developing intelligent, reconfigurable systems for biomedical applications. His work centers on the design, actuation, and control of soft robots that leverage magnetic fields to achieve complex, untethered movements. Cao’s major contributions include the creation of reconfigurable magnetic soft robots capable of multimodal locomotion (159 citations), which has set a new standard for adaptive robotic systems. He also developed a magnetic soft robotic bladder for assisted urination (72 citations), addressing a critical need in treating underactive bladders—a significant biomedical breakthrough. His innovative use of deep reinforcement learning for adaptive actuation (37 citations) represents a leap forward in intelligent control, moving beyond heuristic-based designs. Additionally, Cao has explored multifunctional liquid robotics using ferrofluids and magnetoactive bistable soft actuators, enabling programmable shape transformations at low magnetic fields. With a growing citation impact and a portfolio of high-impact publications, Cao is shaping the future of soft robotics, offering transformative solutions for medical devices and intelligent material systems.