Homar Lopez-Hawa

Papers

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About

Homar Lopez-Hawa is a researcher advancing the integration of low-cost collaborative robotics into precision manufacturing and metrology. His primary research areas include automated scanning techniques, robotic part inspection, and the application of collaborative robots (cobots) for industrial quality control. Lopez-Hawa’s most-cited work, “Automated Scanning Techniques Using UR5” (2019, 8 citations), demonstrates how affordable, flexible robotic systems like the Universal Robots UR5 can perform scanning operations with moderate accuracy, offering a practical alternative to traditional, human-dependent inspection processes. This contribution addresses a critical gap in manufacturing: the need for cost-effective, automated quality assurance that reduces human error and increases throughput. By showing that cobots can reliably handle part inspection tasks, Lopez-Hawa’s research supports the broader adoption of accessible automation in small and medium-sized enterprises. His work highlights the potential for democratizing advanced metrology, making it more attainable for industries that previously relied solely on manual observation. For students and researchers exploring human-robot collaboration or industrial automation, Lopez-Hawa’s studies provide a foundational example of how to balance cost, accuracy, and operational efficiency in real-world manufacturing settings.