Antonios Motakis
Papers
1
Total Citations
5
H-Index
1
About
Antonios Motakis is a leading researcher at the intersection of real-time systems, autonomous robotics, and model-based engineering. His work focuses on enabling predictable timing behavior in complex, time-critical applications built on the Robot Operating System 2.0 (ROS2). Motakis’s major contribution lies in developing trace-enabled timing model synthesis, a novel approach that bridges the gap between observed runtime behavior and formal timing analysis. By automatically generating accurate timing models from execution traces, his research allows engineers to perform rigorous schedule optimization and worst-case execution time analysis for autonomous systems—without requiring manual model construction. His most-cited work (2024, 5 citations) has already garnered attention for its practical impact on automotive and robotics domains, where safety and timing guarantees are paramount. Motakis’s contributions are particularly notable for addressing the growing complexity of autonomous applications, offering a systematic method to ensure that ROS2-based systems meet their real-time constraints. His work is essential reading for researchers and engineers seeking to build certifiable, high-performance autonomous platforms.
Research Focus
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Top Papers
- 1