Xuewen Rong

Papers

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About

Xuewen Rong is a robotics researcher whose work centers on autonomous navigation, path planning, and terrain analysis for mobile and legged robotic systems. With a focus on advancing the operational capabilities of quadruped robots, Rong has made meaningful contributions to how robots perceive and interact with complex environments. His 2019 paper on the ADFA* algorithm represents a notable step forward in grid-map-based path planning, introducing a dilation factor to improve upon the existing DFA* framework and enabling more efficient route calculation for quadruped platforms — work that has accumulated 12 citations and demonstrated practical relevance within the robotics community. Complementing this, his earlier 2014 research tackled traversability analysis for mobile robots navigating challenging terrain, proposing an innovative model grounded in rough set theory combined with a training revising approach to better identify accessible areas from sensor data. Together, these contributions reflect a sustained commitment to solving foundational challenges in robot autonomy, particularly in unstructured environments. Rong's research offers valuable tools for engineers and scientists working to deploy robust, self-navigating robotic systems in real-world scenarios.