Xuexi Zhang

Papers

Total Citations

H-Index

About

Xuexi Zhang is a leading researcher in robotics, specializing in autonomous navigation, bipedal locomotion, and bio-inspired robotic systems. His work addresses critical challenges in rescue robotics and humanoid mobility. Zhang’s most influential contribution is his 2020 study on 2D Lidar-based SLAM and path planning for indoor rescue robots, which has garnered 79 citations. This work systematically evaluates SLAM algorithms to enhance robot reliability in hazardous, unstructured environments, directly supporting life-saving missions. He also pioneered the use of ducted-fan propulsion systems for humanoid robots, introducing a genetic algorithm with smoothness constraints (GAS) to optimize posture when stepping over large obstacles—a novel approach that expands bipedal robots’ terrain capabilities. Additionally, Zhang developed an action control model for robotic fish using an improved extreme learning machine, achieving rapid state prediction and precise movement adjustment. With a research portfolio that bridges practical deployment and theoretical innovation, Zhang’s work is essential reading for engineers and researchers advancing autonomous systems in complex, real-world settings.