Donglai Xue
Papers
2
Total Citations
13
H-Index
2
About
Donglai Xue is a rising researcher in autonomous robotics, specializing in motion planning and navigation for complex, unstructured environments. His work addresses the critical challenge of enabling robots—particularly car-like vehicles—to navigate with the agility and spatial awareness of humans. Xue’s most cited paper, "Hierarchically depicting vehicle trajectory with stability in complex environments" (2025, 10 citations), introduces a hierarchical framework that models vehicle trajectories while ensuring stability, a key step toward human-like pathfinding in dynamic settings. Building on this, his "SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain" (2025, 3 citations) tackles the distinct difficulties of off-road navigation, integrating traversability assessment and terrain-aware kinematic modeling directly into the motion planning pipeline. Though early in his career, Xue’s focus on SE(2) geometry and stability-aware planning positions him at the forefront of field robotics. His contributions are particularly relevant for autonomous driving, agricultural robots, and search-and-rescue operations, where reliable navigation over irregular ground is essential. With a clear trajectory toward practical, real-world deployment, Xue’s work is already shaping the next generation of resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2