Marius L. Tomescu
Papers
1
Total Citations
43
H-Index
1
About
Marius L. Tomescu is a researcher specializing in computational intelligence, optimization algorithms, and mobile robotics control. His work focuses on applying nature-inspired metaheuristics to solve complex engineering problems, particularly in autonomous navigation and control systems. His most cited paper (2020, 43 citations) introduces novel applications of the Grey Wolf Optimizer (GWO) algorithm to two critical robotics challenges: path planning for nonholonomic mobile robots and tuning of Proportional-Integral (PI)-fuzzy logic controllers. This work demonstrates how bio-inspired optimization can enhance both offline trajectory generation and real-time tracking control, bridging the gap between theoretical optimization and practical robotic applications. Tomescu's contributions are significant for advancing autonomous systems, offering computationally efficient solutions that improve robot navigation accuracy and control robustness. His research has implications for industrial automation, service robotics, and intelligent transportation systems. By integrating fuzzy logic with swarm intelligence, he has helped develop more adaptive and reliable control architectures. With growing citation impact, Tomescu's work continues to influence researchers working at the intersection of metaheuristic optimization and mobile robotics, providing foundational methods for developing smarter, more autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1