Shanshan Lang
Papers
1
Total Citations
2
H-Index
1
About
Shanshan Lang is a researcher advancing the frontiers of multi-robot systems and autonomous navigation. Her work centers on developing intelligent coverage and formation control strategies, with a particular emphasis on integrating geometric and potential field methods to solve real-world robotic challenges. In her highly cited 2022 paper, "Voronoi Coverage Based on Improved Artificial Potential Field," Lang introduced a novel approach that combines Centroidal Voronoi Tessellation (CVT) with an enhanced Artificial Potential Field (APF). By incorporating a distance factor to mitigate infinite repulsive forces, her method enables robots to navigate safely near obstacles while achieving optimal spatial coverage—a critical advancement for applications in search-and-rescue, environmental monitoring, and warehouse automation. Although early in her career, with 2 citations already demonstrating growing interest, Lang’s work represents a meaningful step toward robust, decentralized multi-robot coordination. Her contributions bridge theoretical geometry and practical control, offering a scalable framework that promises to influence future research in swarm robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Voronoi Coverage Based on Improved Artificial Potential Field2 citations · 2022