Alan McGibney
Papers
2
Total Citations
31
H-Index
2
About
Alan McGibney is a leading researcher in collaborative robotics, edge computing, and intelligent sensor systems for autonomous navigation. His work focuses on enabling safe, efficient human-robot collaboration in manufacturing, particularly through computation offloading frameworks that allow collaborative robots (cobots) to perform precise tasks like visual inspection and quality control outside traditional safety zones. His most-cited paper, "CoRoL: A Reliable Framework for Computation Offloading in Collaborative Robots" (2022, 24 citations), establishes a foundational approach for integrating cloud and edge resources to enhance cobot reliability and responsiveness. McGibney also contributed significantly to environment perception with the "INSPEX" project (2019, 7 citations), which optimizes range sensors for portable obstacle detection systems—critical for both autonomous vehicle navigation and aiding visually impaired individuals in low-visibility conditions. His interdisciplinary work bridges robotics, sensor fusion, and real-time computing, with direct applications in Industry 4.0 and assistive technologies. McGibney’s research continues to shape how intelligent systems perceive and interact with dynamic environments, making him a key figure in advancing practical, human-centric automation.
Research Focus
Key Achievements
Top Papers
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