Miguel Ferreira

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About

Miguel Ferreira is an emerging researcher in the field of mobile robotics, with a particular focus on autonomous navigation and motion control systems for differential drive mobile robots. His work addresses the growing demand for practical, cost-effective robotic solutions applicable across industries such as logistics, healthcare, industrial automation, and beyond. Ferreira's most notable contribution, "Autonomous Navigation System for a Differential Drive Mobile Robot" (2024), has already garnered 6 citations, reflecting strong early interest from the robotics community. This work tackles the critical challenge of enabling robots to navigate complex real-world environments independently — a cornerstone capability for modern autonomous mobile robots (AMRs). Complementing this, his 2023 paper on differential drive kinematics and odometry using TwinCAT demonstrates his hands-on approach to implementing motion control on low-cost hardware platforms equipped with Beckhoff motors and incremental encoders, making advanced robotics more accessible. Though at an early stage of his research career, Ferreira's work stands out for its practical applicability and engineering rigor. Students and engineers working on embedded robotics, autonomous systems, or industrial automation will find his publications particularly valuable as accessible, implementation-focused references in an increasingly important domain.