Liwen Xu
Papers
1
Total Citations
14
H-Index
1
About
Liwen Xu is a rising researcher in robotics and autonomous navigation, with a focus on learning-based motion planning for aerial vehicles. Their key research areas include quadrotor trajectory generation, perception-integrated planning, and end-to-end learning for robotics. Xu’s most notable contribution is the development of a novel one-stage planner, introduced in their 2024 paper “You Only Plan Once: A Learning-Based One-Stage Planner With Guidance Learning,” which has already garnered 14 citations. This work revolutionizes traditional multi-stage planning by integrating perception, mapping, path searching, and optimization into a single neural network, enabling quadrotors to navigate obstacle-cluttered environments without explicit maps. The approach significantly reduces computational overhead and enhances real-time performance, addressing critical challenges in autonomous drone flight. Xu’s research demonstrates a clear trajectory toward more efficient, intelligent, and robust robotic systems, with potential applications in search-and-rescue, inspection, and delivery. Their work is gaining attention for its innovative fusion of deep learning and classical planning, marking Xu as a promising contributor to the next generation of autonomous navigation technologies.
Research Focus
Key Achievements
Top Papers
- 1