Papers
1
Total Citations
5
H-Index
1
About
Guoxi Li is a researcher specializing in intelligent robotics and autonomous navigation, with a particular focus on path planning in dynamic environments. His most cited work introduces a novel spatiotemporal grid map that unifies static and dynamic obstacles, enabling robots to adapt more effectively to changing surroundings. Building on this, Li developed an improved Dynamic Window Approach (DWA) algorithm for local path planning, enhancing real-time obstacle avoidance and trajectory optimization. Although his citation count is still growing—with his top paper garnering 5 citations—this early work demonstrates significant potential in advancing robot adaptability and safety in complex, real-world settings. Li’s contributions are particularly relevant for applications in autonomous vehicles, service robotics, and industrial automation, where dynamic obstacle handling is critical. His research reflects a strong commitment to bridging theoretical algorithms with practical deployment, offering a foundation for future innovations in intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1