Rob McKendrick

Papers

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About

Rob McKendrick is a pioneering researcher in the application of hypermedia and case-based reasoning (CBR) to industrial maintenance, particularly for robotic systems. His work focuses on integrating structured information retrieval with diagnostic decision-making to solve complex, real-world engineering problems. McKendrick’s major contribution lies in demonstrating how open hypermedia systems can be combined with CBR to create powerful, user-friendly tools for troubleshooting and maintaining automated equipment. His most-cited paper, “Integrating case-based reasoning and hypermedia documentation: an application for the diagnosis of a welding robot at Odense steel shipyard” (1999, 15 citations), showcases a landmark industrial application, proving that this hybrid approach could significantly improve fault diagnosis in a demanding shipyard environment. A subsequent study (2002) further refined the methodology, emphasizing the value of structured, accessible information for maintenance crews. While his citation counts are modest, McKendrick’s work is notable for its direct, demonstrable impact on industrial practice, bridging the gap between academic AI research and operational efficiency in heavy manufacturing. His research remains a key reference for engineers seeking to apply intelligent documentation systems to robotics maintenance.