Papers

2

Total Citations

16

H-Index

2

About

Dr. Emil Zaev is a robotics researcher whose work centers on intelligent control systems, autonomous navigation, and industrial automation. His most influential contribution, "Application of Fuzzy Logic and PID Controller for Mobile Robot Navigation" (2020), with 14 citations, addresses the enduring challenge of enabling mobile robots to detect and avoid both static and dynamic obstacles in real-world environments. By integrating fuzzy logic with traditional PID control, Zaev developed a hybrid approach that enhances decision-making under uncertainty, a key step toward more adaptive and reliable autonomous systems. His more recent work, "Efficient Kinematic Modeling, Simulation and Control of a 6-DOF Robotic Arm" (2025), applies Denavit-Hartenberg parameterization to optimize precision in industrial tasks like assembly and material handling. This research demonstrates his commitment to bridging theoretical modeling with practical simulation and control. Zaev’s contributions are particularly notable for their focus on real-time adaptability and computational efficiency, making his work relevant for students and engineers developing next-generation robotic systems for dynamic, unstructured environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Application of Fuzzy Logic and PID Controller for Mobile Robot Navigation
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ss. Cyril and Methodius University in Skopje

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago