Rahib H. Abiyev

Papers

Total Citations

H-Index

About

Rahib H. Abiyev is a researcher specializing in intelligent control systems, mobile robotics, and fuzzy logic, with a particular focus on autonomous navigation in complex and uncertain environments. His work sits at the intersection of artificial intelligence and robotics, developing sophisticated control frameworks that enable robots to operate effectively in dynamic, real-world conditions. Abiyev's most influential contribution is his pioneering application of Z-number-based fuzzy systems to robot control, demonstrating how this advanced mathematical framework can manage uncertainty when guiding omnidirectional mobile robots through cluttered, obstacle-rich environments. This work has garnered 82 citations, reflecting its significant impact on the robotics and intelligent systems communities. His research on behaviour tree-based control architectures for holonomic robots further showcases his commitment to developing efficient, modular navigation strategies, providing practitioners with practical tools for real-time robot decision-making. More recently, Abiyev has explored model-free interception algorithms using geometric approaches, highlighting his ongoing interest in elegant, computationally accessible solutions to challenging motion planning problems. Collectively, his research advances our understanding of how intelligent, uncertainty-aware control systems can make autonomous robots more reliable and adaptable, offering valuable methodologies for both academic researchers and engineers working on next-generation robotic platforms.