Xue Deng

Papers

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About

Xue Deng is a robotics researcher specializing in motion planning and control for industrial inspection robots, with a focus on high-precision navigation in constrained environments. Their most cited work, "Path-Follower: A High-Precision Sampling-Based Motion Planner for Inspection Robot" (2023, 8 citations), addresses a critical challenge in heavy industrial settings: enabling large, massive inspection robots to follow pre-planned global paths with exceptional accuracy while safely halting when encountering obstacles—without relying on autonomous obstacle avoidance or global replanning. This contribution is particularly valuable for industries like oil and gas, power plants, and manufacturing, where autonomous navigation is often prohibited due to safety concerns. Deng’s research bridges the gap between theoretical motion planning and practical deployment constraints, offering a sampling-based approach that balances precision, safety, and computational efficiency. By focusing on path-following rather than full autonomy, Deng provides a pragmatic solution that aligns with real-world industrial requirements. Their work has implications for improving the reliability and adoption of robotic inspection systems, reducing human risk in hazardous environments. As a researcher, Deng continues to advance the field of mobile robotics, contributing to safer and more efficient industrial operations.