David Lopes

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Total Citations

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About

David Lopes is a researcher at the forefront of industrial automation, specializing in the integration of collaborative robotics, 3D vision systems, and fleet management for smart manufacturing. His work is closely tied to the GreenAuto project, where he focuses on enhancing efficiency and interoperability within the automotive sector. Lopes’s major contributions include a pioneering method for position correction in collaborative robots using 3D vision, demonstrated in a 2025 case study that optimizes nut-tightening processes—a critical task in vehicle assembly. This work has already garnered 7 citations, reflecting its immediate relevance to industry. Additionally, he developed an integrated fleet management system for mobile robots (AGVs and AMRs), unifying data from multi-brand platforms into a single interface. This 2025 study, with 6 citations, addresses a key challenge in industrial efficiency: seamless interoperability. Lopes’s research stands out for its practical, case-study-driven approach, directly bridging the gap between cutting-edge robotics and real-world production lines. His achievements mark him as a rising contributor to the future of flexible, automated manufacturing.