Zeming Liu

Xi'an Jiaotong University, Guangdong University of Technology

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About

Zeming Liu is a robotics researcher whose work bridges soft robotics and autonomous navigation, with a focus on bio-inspired design and terrain adaptability. His key contributions lie in developing flexible locomotion systems that mimic natural animal structures, particularly through soft robotic joints and adaptive leg mechanisms. His most cited work, "Terrain Adaptability and Optimum Contact Stiffness of Vibro-bot with Arrayed Soft Legs" (2021, 26 citations), addresses the critical gap between robotic and biological locomotion by exploring flexible structures that enhance fault tolerance and adaptability across diverse terrains. In "Elementary Slender Soft Robots Inspired by Skeleton Joint System of Animals" (2019, 18 citations), Liu introduced soft joints modeled after mammal bending characteristics, using dual Pneu-nets (PNs) to achieve scalable, high-performance locomotion. More recently, he has advanced autonomous navigation with a framework fusing 3D and 2D SLAM algorithms for solid-state LiDARs (2023), addressing the challenge of limited field-of-view in cost-effective sensors. Liu’s work is notable for its interdisciplinary approach, combining materials science, biomechanics, and robotics to create more resilient, animal-like machines. His research has significant implications for field robotics, search-and-rescue operations, and autonomous systems operating in unstructured environments.