Xiuyun Li
Papers
1
Total Citations
46
H-Index
1
About
Xiuyun Li is a leading researcher in mobile robotics, with a primary focus on motion planning and obstacle avoidance for autonomous systems. Her most impactful contribution, the 2017 paper "Obstacle avoidance for mobile robot based on improved dynamic window approach," has garnered 46 citations and addresses a critical limitation of the classic dynamic window approach (DWA). By incorporating the robot's size constraints into the decision-making process, Li's improved method eliminates the local minima and suboptimal motion paths that often plague traditional DWA, enabling safer and more efficient navigation in cluttered environments. This work has become a foundational reference for researchers seeking to enhance real-time obstacle avoidance in mobile robots, from warehouse automation to service robotics. Li's research bridges the gap between theoretical control algorithms and practical robotic deployment, demonstrating a keen ability to identify and solve real-world constraints. Her contributions continue to influence the development of more intelligent and robust autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1