Qixing Liang

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About

Dr. Qixing Liang is a leading researcher in the field of legged robotics, with a primary focus on enhancing the autonomy and environmental adaptability of quadruped robots. Their work bridges critical gaps in human-robot interaction and complex terrain navigation. Dr. Liang’s most impactful contribution is a novel obstacle avoidance and personnel following strategy that fuses ultra-wideband (UWB) positioning with 3D LiDAR technology, a paper that has garnered 13 citations for its practical approach to improving real-world robot cooperation. Further advancing the field, Dr. Liang developed a vision-based dynamic gait stair climbing algorithm, which uses a depth camera and Capture Point (CP) control to enable stable, adaptive locomotion on stairs. This work, with 4 citations, is notable for its direct application to service robotics in human environments. By systematically addressing both low-level locomotion control and high-level perception, Dr. Liang’s research provides foundational algorithms for creating more capable and responsive quadruped robots, making significant strides toward their deployment in search-and-rescue, inspection, and domestic assistance roles.