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About

Domenico Maisano is a leading researcher in industrial engineering, specializing in human–robot collaboration (HRC) and advanced metrology. His work focuses on optimizing the configuration and safety of collaborative workcells, particularly in assembly and manufacturing contexts. Maisano’s most cited paper, “A structured methodology to support human–robot collaboration configuration choice” (2021, 22 citations), provides a systematic framework for selecting HRC setups, directly addressing industry needs for flexibility and efficiency. He has also made significant contributions to photogrammetry, as seen in his 2024 study “Scaling photogrammetry: A comparative evaluation and metrological assessment across small- and meso-scale domains” (7 citations), which evaluates this machine vision technique for industrial inspection across measurement scales. His research on failure assessment in HRC workcells and quality profiling in automotive applications further underscores his impact on safe, high-quality automation. With a growing citation record and practical relevance to Industry 4.0, Maisano’s work bridges theoretical modeling and real-world implementation, offering valuable insights for engineers and researchers advancing collaborative robotics and precision measurement.