Fetullah Atas
Papers
3
Total Citations
18
H-Index
2
About
Fetullah Atas is a robotics researcher whose work focuses on enabling autonomous mobile robots to navigate safely and efficiently through complex, uneven, and outdoor environments. His key research areas include motion planning, 3D perception, and model predictive control for rough terrain. Atas’s major contribution is the development of novel, perception-driven navigation frameworks that move beyond traditional 2D approaches. His most cited work, "Elevation State-Space: Surfel-Based Navigation in Uneven Environments for Mobile Robots" (14 citations), introduces a surfel representation of point clouds to incorporate kinematic and physical constraints directly into the planning process, addressing critical shortcomings in state-of-the-art methods. In subsequent work, such as "Navigating in 3D Uneven Environments Through Supervoxels and Nonlinear MPC," he advances this concept by using compact supervoxel representations coupled with nonlinear model predictive control to enhance stability and traversability on rough terrain. Atas also contributed a benchmark study on sampling-based planners for outdoor robots. His research is highly relevant for field robotics applications, including search and rescue, agriculture, and planetary exploration, where robust navigation in unstructured environments is essential.
Research Focus
Key Achievements
Top Papers
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