Max Robotics — Global Service Robot Directory + US Certification

About

Miguel Melgarejo’s research centers on the design and application of type-2 fuzzy logic controllers for mobile robotics, with a particular focus on real-time tracking and autonomous navigation. His major contribution lies in advancing the practical implementation of interval type-2 fuzzy logic systems (IT2-FLCs) in robotic platforms, demonstrating that these controllers can outperform traditional type-1 systems in handling uncertainty and variability in dynamic environments. His most cited work (87 citations) introduces a type-2 fuzzy controller for tracking mobile objects in robotic soccer, integrating image processing to estimate angles and enabling responsive, rule-based behavior. Melgarejo further refined this approach with a simple, accessible design methodology for IT2-FLCs (16 citations) and explored embedded system implementations (6 citations), bridging theoretical fuzzy logic with real-world hardware constraints. His hierarchical design approach (4 citations) offers a structured method for scaling these controllers to complex robotic tasks. Through these contributions, Melgarejo has established himself as a key figure in computational intelligence for robotics, providing foundational tools that allow students and researchers to build more robust, uncertainty-tolerant autonomous systems.