Mohammad Olyai
Papers
2
Total Citations
4
H-Index
2
About
Mohammad Olyai is a rising researcher in nonlinear control theory and wheeled mobile robotics, with a focused expertise in the challenging dynamics of tractor-trailer wheeled robots (TTWRs). His work addresses fundamental problems in the trajectory tracking and path following of these complex, nonholonomic systems, which are critical for applications in public transportation and high-payload logistics. Olyai’s major contributions lie in applying dynamic feedback linearization and dynamic extension techniques to achieve precise control of TTWRs in both forward and backward motion—a notoriously difficult task due to their non-minimum phase behavior. His two most-cited papers, each garnering 2 citations since 2024, establish a rigorous framework for stabilizing these systems under pure rolling conditions and nonholonomic constraints. By tackling the inherent control challenges of differentially-driven tractors towing trailers, Olyai’s work provides foundational solutions that advance the autonomy and maneuverability of articulated vehicles. His research stands out for its mathematical depth and practical relevance, offering a clear path forward for safe and efficient robotic transport systems in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2