Davood Nazari Maryam Abadi

Papers

Total Citations

138

H-Index

About

Davood Nazari Maryam Abadi is a researcher whose work sits at the intersection of intelligent control systems, fuzzy logic, and autonomous mobile robotics. His research has made notable contributions to the challenging problem of trajectory tracking in nonholonomic wheeled mobile robots (WMRs) — systems that are notoriously difficult to control due to their motion constraints and model uncertainties. His most cited work, published in 2013 and accumulating 82 citations, introduced an optimal Mamdani-type fuzzy logic controller capable of handling both parametric and nonparametric uncertainties in robot dynamics, demonstrating a practical and robust approach to real-world control challenges. A closely related contribution, also from 2013 with 56 citations, advanced the field further by proposing an interval type-2 fuzzy PID controller optimized using the Teaching–Learning-Based Optimization (TLBO) algorithm — a population-based metaheuristic that brought greater adaptability and precision to the control design process. Together, these works reflect a sustained commitment to merging soft computing techniques with optimization algorithms to solve complex robotics problems. With nearly 140 combined citations across just two papers, his research has clearly resonated within the control engineering and robotics communities, offering valuable frameworks for researchers and engineers working on intelligent autonomous systems.