Xudong Ji

Papers

Total Citations

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About

Xudong Ji’s research lies at the intersection of robotics, industrial automation, and cybersecurity, with a focus on enhancing precision and safety in manufacturing environments. His most influential work, “Smooth and Accurate Trajectory Planning for Industrial Robots” (2014, 16 citations), introduces a novel geodesic-based method for trajectory planning that decouples positional and orientational spaces using Riemannian metrics. This approach ensures smoother, more accurate robot motion, directly improving efficiency in tasks like welding and assembly. Ji also addresses critical vulnerabilities in industrial control systems (ICS) with his “Three-Stage Dynamic Assessment Framework for Industrial Control System Security Based on a Method of W-HMM” (2022, 8 citations), which leverages hidden Markov models to dynamically assess cyber risks in cloud-connected ICS. Additionally, his work on “Stud welding system using an industrial robot for membrane walls” (2022, 5 citations) demonstrates practical applications in heavy industry, integrating robotic precision with complex welding tasks. Ji’s contributions bridge theoretical motion planning and real-world security challenges, making him a key figure in advancing both robotic performance and industrial resilience.