Linqing Wang

Papers

Total Citations

H-Index

About

Linqing Wang is a pioneering researcher in bio-inspired robotics, specializing in the locomotion and aerodynamics of climbing and gliding robots. His work draws profound inspiration from nature, particularly the agile movements of geckos and flying squirrels, to solve complex engineering challenges. A major contribution is the development of the GPL (Gecko-inspired mechanism with a Pendular waist and Linear legs) model, detailed in his highly cited 2018 paper "The Gait Design and Trajectory Planning of a Gecko-Inspired Climbing Robot" (13 citations). This model introduces a dynamic, energy-efficient gait for vertical climbing, mimicking the gecko’s pendular waist motion. Wang has also significantly advanced the field of aerial robotics. His research on the deformable membrane wing of a robotic flying squirrel, published in 2018 (7 citations), and his innovative "wave gliding gait" (WGG) model from 2016 (6 citations) demonstrate how high-frequency, low-amplitude limb movements can control flexible membranes for precise air posture adjustment. By translating biological principles into functional robotic mechanisms, Wang’s work provides foundational blueprints for future agile, multi-terrain robots, impacting fields from search-and-rescue to planetary exploration.