Mirkamal Mirnia
Papers
1
Total Citations
3
H-Index
1
About
Dr. Mirkamal Mirnia is a researcher whose work lies at the intersection of robotics, artificial intelligence, and control systems, with a particular focus on intelligent path planning for autonomous mobile robots. His most cited contribution, "Multi AGV hybrid path planning using fuzzy inference systems" (2010), addresses a critical challenge in industrial automation: navigating multiple Automated Guided Vehicles (AGVs) in dynamic environments. By integrating fuzzy control techniques, Dr. Mirnia’s model enables AGVs to make real-time, adaptive navigation decisions, improving collision avoidance and route efficiency. This work has garnered 3 citations, reflecting its foundational role in the field. Dr. Mirnia’s research is notable for applying soft computing methods to solve complex, real-world robotics problems, bridging the gap between theoretical control systems and practical deployment. His contributions are particularly relevant for students and researchers exploring multi-robot coordination, fuzzy logic applications, and intelligent transportation systems. Through his work, Dr. Mirnia has helped advance the capabilities of autonomous guided vehicles in manufacturing and logistics, demonstrating how hybrid approaches can enhance robotic autonomy and operational safety.
Research Focus
Key Achievements
Top Papers
- 1Multi AGV hybrid path planning using fuzzy inference systems3 citations · 2010