Babak Samari
Papers
1
Total Citations
12
H-Index
1
About
Babak Samari is a researcher whose work lies at the intersection of robotics, computational geometry, and autonomous navigation. His primary contributions center on developing robust, real-time methods for mapping unknown environments—a critical challenge for autonomous systems operating in complex, unstructured spaces. In his most-cited work, "Robust environment mapping using flux skeletons" (2015, 12 citations), Samari tackles the problem of directly extracting a topological roadmap from an initially unknown 2D environment. This approach elegantly computes a retraction of the environment's boundaries, enabling an online procedure that is both theoretically sound and practically resilient. While the citation count reflects a focused, specialized audience, the impact of this work is significant within the field of topological mapping, where it addresses a long-standing gap between elegant theory and reliable implementation. Samari’s research is particularly valuable for students and engineers seeking to bridge the gap between geometric algorithms and real-world robotic perception, offering a robust foundation for autonomous exploration and path planning in unknown terrains.
Research Focus
Key Achievements
Top Papers
- 1Robust environment mapping using flux skeletons12 citations · 2015