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About

Haining Xiao is a robotics researcher whose work lies at the intersection of intelligent control, computer vision, and mobile robot navigation. His most influential contribution is a 2019 paper on backstepping trajectory tracking using fuzzy sliding mode control for differential mobile robots, which has garnered 129 citations—a testament to its practical significance in the field of autonomous ground vehicles. Xiao has also made notable advances in vision-guided systems, particularly for automated guided vehicles (AGVs) operating in complex, noisy environments. His 2019 study on intelligent path recognition tackled the persistent challenges of non-uniform illumination, occlusion, and stripe damage, while his 2022 work on adaptive ORB feature detection introduced a variable extraction radius in regions of interest to handle complex lighting conditions. These contributions demonstrate his focus on making vision-based navigation more robust in real-world settings. Additionally, Xiao has explored the multibody modeling of differential-driving robots, addressing steering-angle computation for systems with casters. His research is highly relevant for students and engineers working on autonomous navigation, offering practical solutions to the sensor and control challenges that limit field deployment of mobile robots.