Xin Wen
Papers
1
Total Citations
3
H-Index
1
About
Xin Wen is a robotics researcher whose work centers on safe and efficient motion planning for autonomous systems, particularly incremental wheeled mobile robots operating in complex, multi-agent environments. His most cited contribution, the 2024 paper "Safe Trajectory Planning for Incremental Robots Based on a Spatiotemporal Variable-Step-Size A* Algorithm," introduces a novel planning method that adapts step sizes in both space and time to navigate dynamic scenarios with multiple robots. This approach directly addresses the critical challenge of collision-free trajectory generation in crowded, unpredictable settings, enhancing both safety and computational efficiency. While his citation count is currently modest at three, the work represents a foundational step in spatiotemporal path optimization, offering a scalable solution for real-world applications like warehouse logistics and autonomous fleets. Wen's research bridges algorithmic innovation with practical robotics, positioning him as an emerging voice in intelligent motion planning.
Research Focus
Key Achievements
Top Papers
- 1