Papers
2
Total Citations
16
H-Index
2
About
Ning Xu is a rising researcher in the field of bio-inspired robotics, with a primary focus on quadruped robot locomotion and intelligent motion control. Their work bridges the gap between biological inspiration and engineering application, particularly in the design and modeling of bionic robot dogs. In their highly cited 2023 paper, Xu developed a comprehensive framework for modeling walking-gait parameters and walking strategies for quadruped robots, achieving 11 citations for its novel approach to revealing motion characteristics through kinematic analysis. This foundational work demonstrates how biological forms can be systematically translated into robotic mechanisms. Xu’s subsequent research, with 5 citations, addresses a critical challenge in the field: motion control errors caused by spatial disturbances in bionic robots. By integrating vision and navigation information, Xu proposed an innovative control method that leverages AI and industrial automation technologies to enhance the precision of robot dogs in high-accuracy industrial applications. This work is particularly significant as it tackles the practical deployment of quadruped robots in real-world engineering environments. Xu’s contributions are establishing them as a promising voice in the advancement of intelligent, biologically-inspired robotic systems for industrial automation.
Research Focus
Key Achievements
Top Papers
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