Xingxue Dong

Papers

Total Citations

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About

Xingxue Dong is a robotics researcher whose work focuses on autonomous navigation and path planning for unmanned systems, particularly delivery robots operating in complex, semi-structured environments. Dong's most-cited paper, "Robust Path Planning Of Obstacle Avoidance For Unmanned delivery robot" (2023), introduces a novel method that combines an improved Vector Field Histogram (VFH) algorithm with Sequential Quadratic Programming (SQP) optimization. This hybrid approach addresses the critical challenge of real-time obstacle avoidance on roads with unpredictable obstacles, such as those found in parks or campus settings. By first using VFH to determine an optimal local direction and then refining the trajectory with SQP, Dong's method achieves both computational efficiency and path smoothness. While still early in their career, with 2 citations on this key work, Dong's contribution is significant for advancing the practicality of last-mile delivery robots. Their research sits at the intersection of control theory and field robotics, offering a scalable solution for autonomous vehicles navigating cluttered, dynamic environments.