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About

Chenlu Liu is a rising force in the field of micro-robotics and intelligent manipulation, whose work bridges the gap between microscopic biomedical tools and advanced robotic control systems. Her research focuses on three key areas: the design of bio-inspired micro-nano robots, high-precision visual servoing for industrial manipulators, and intelligent robotic grasping. Liu’s most notable contribution is the development of a multimode microdimer robot, which uses magnetic fields to navigate complex biological environments—a breakthrough that has already garnered 23 citations for its potential to cross tissue barriers with unprecedented precision. In parallel, her work on hybrid visual-ranging servoing (20 citations) has revolutionized positioning tasks by integrating image and measurement features, eliminating the need for complex feature design. Liu has also advanced the field by engineering micro-robots using living cells and functionalized biological membranes, offering a novel approach to targeted drug delivery. Her recent achievements include a discrete-time visual servoing method that adaptively predicts image features, and a stacked object classification network for robotic grasping, both demonstrating her commitment to practical, real-world applications. With a growing citation record and a portfolio of innovative solutions, Chenlu Liu is shaping the future of robotics, from the microscopic to the macroscopic scale.