Dachuan Li

Tsinghua University, Southern University of Science and Technology

Papers

Total Citations

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About

Dachuan Li is a robotics researcher whose work bridges foundational motion planning with cutting-edge perception for autonomous systems. His key research areas include path planning for flying robots in complex environments and 3D moving object segmentation for autonomous driving. Li’s major contribution lies in advancing sampling-based planning algorithms, particularly through his work on Extended RRT-based path planning, which addresses the critical challenge of navigating flying robots through narrow passages in high-dimensional, 3D spaces—a problem that has garnered 18 citations for its practical impact on drone and aerial vehicle autonomy. More recently, Li has pushed into perception with MV-MOS, a multi-view feature fusion framework for 3D moving object segmentation. This work tackles the difficult task of extracting motion information from dense point clouds while minimizing information loss during 3D-to-2D projection, achieving 2 citations in its first year. By combining robust planning with state-of-the-art scene understanding, Li’s research directly supports safer, more intelligent navigation for autonomous vehicles and robots. His trajectory from sampling-based planning to multi-modal perception highlights a commitment to solving real-world autonomy challenges, making his work essential reading for students and researchers in robotics and autonomous driving.