Papers
8
Total Citations
135
H-Index
5
About
Argyrios Zolotas is a leading researcher at the intersection of autonomous systems, robotics, and advanced control theory. His work spans terrain traversability analysis for off-road vehicles, Delaunay triangulation for computational geometry, and disturbance-observer-based control (DOBC). Zolotas’s most impactful contribution is his comprehensive survey on Delaunay triangulation (45 citations), which systematically reviews algorithms and implementations across CPUs, GPUs, and FPGAs—a foundational resource for researchers in computer graphics and spatial computing. His hybrid terrain traversability analysis (30 citations) addresses a critical challenge in off-road autonomy, enabling ground vehicles to navigate unstructured environments by fusing geometric and semantic cues. Zolotas also co-authored the influential book *Disturbance Observer-Based Control: Methods and Applications* (27 citations), which distills a decade of research into practical DOBC theory for process control and mechatronics. His work on optimized tilt control for rail vehicles using fractional-order methods (18 citations) demonstrates cross-domain innovation. More recently, he has pioneered end-to-end path planning with convolutional neural networks (8 citations) and developed modular UAV hardware platforms for indoor navigation. With over 135 total citations and contributions spanning theory, hardware, and field applications, Zolotas continues to shape autonomous navigation and robust control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hybrid Terrain Traversability Analysis in Off-road Environments30 citations · 2022
- 3Disturbance Observer-Based Control: Methods and Applications [Bookshelf]27 citations · 2015
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- 8Optimised Sensor Configurations For a Maglev Suspension System2 citations · 2007