Dany Ouellet
Papers
2
Total Citations
13
H-Index
2
About
Dany Ouellet is a researcher whose work lies at the intersection of autonomous robotics and software engineering, specifically focusing on the rigorous design of complex robotic systems. His primary research areas include model-driven development (MDD), real-time object-oriented design, and the control of multi-robot swarms. Ouellet’s major contribution is the application of formal software engineering paradigms—such as MDD and state-based approaches—to solve critical challenges in autonomous robotics, including strict timing constraints for simultaneous localization and mapping (SLAM) and the coordination of unmanned vehicular swarms. His most cited paper, "Model-Driven Development Architectures to Solve Complex Autonomous Robotics Problems" (2016, 9 citations), demonstrates how these methodologies can address real-time performance issues in single-robot systems. His earlier work, "Control of swarms of autonomous robots using Model Driven Development - A state-based approach" (2011, 4 citations), extends this framework to multi-agent coordination, a key step toward deploying autonomous systems in military and civilian applications. While his citation counts are modest, Ouellet’s research provides foundational insights into bridging software engineering rigor with robotic autonomy, offering practical pathways for developing reliable, real-time capable unmanned systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2