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About

Olivera Petrovska is a rising researcher at the forefront of autonomous mobile robotics and intelligent control systems. Her work uniquely bridges nonlinear dynamics, machine learning, and the Internet of Things (IoT) to create adaptable, real-time robotic control solutions. In her highly cited 2018 paper on platoon control for autonomous vehicles, she advanced the concept of intelligent cruise control (ACC/AICC) for smart car convoys, laying foundational work for cooperative autonomous driving. More recently, her 2024 paper integrating nonlinear dynamics with machine learning for IoT-based robotic control has garnered significant attention, addressing the critical need for systems that can handle complex, unpredictable environments. Petrovska’s 2024 dynamic modeling study, which developed a versatile mathematical framework for mobile robots under disturbances, further demonstrates her systematic approach to real-world robotic challenges. Her latest 2025 work explores symmetry and asymmetry in Ackermann-steering robots, incorporating neural network-based residual models for enhanced nonlinear control. With a growing citation impact and a clear trajectory from theoretical modeling to practical IoT-enabled control, Petrovska is establishing herself as a key innovator in next-generation autonomous systems.