Ge Xia
Papers
1
Total Citations
2
H-Index
1
About
Ge Xia’s research lies at the intersection of computational geometry, robotics, and algorithmic optimization, with a particular focus on terrain modeling and autonomous navigation. Her most-cited work, “On the Problem of Covering a 3-D Terrain” (2020), introduces a novel graph-theoretic formulation for deploying a sweeping robot equipped with a camera to achieve complete coverage of a three-dimensional surface. By modeling the terrain as a weighted mesh that captures elevation levels, Xia transforms a complex real-world challenge into a tractable algorithmic problem, enabling efficient path planning for robotic systems. This contribution has garnered 2 citations and is foundational for applications in environmental monitoring, search-and-rescue operations, and agricultural surveying. Xia’s approach bridges theoretical geometry with practical robotics, offering scalable solutions for autonomous exploration of uneven landscapes. Her work is particularly notable for its elegant reduction of a continuous 3D coverage problem to discrete graph traversal, a technique that inspires further research in sensor placement and motion planning. As a rising scholar, Xia continues to advance algorithmic methods that empower robots to intelligently interact with complex, natural environments.
Research Focus
Key Achievements
Top Papers
- 1On the Problem of Covering a 3-D Terrain2 citations · 2020