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About

Spencer Gibb is a robotics and autonomous systems researcher whose work sits at the intersection of civil infrastructure inspection and intelligent robotics. He has made significant contributions to the development of autonomous robotic platforms capable of performing non-destructive evaluation (NDE) of critical infrastructure, particularly bridge decks and other civil structures. His most influential work, "Nondestructive Evaluation Sensor Fusion with Autonomous Robotic System for Civil Infrastructure Inspection" (2018), has garnered 76 citations and demonstrates his expertise in integrating multiple sensing technologies to improve inspection accuracy and reduce human error. Alongside his 2017 study on autonomous bridge deck inspection (48 citations), Gibb has consistently advanced the case for replacing costly, labor-intensive manual inspections with reliable robotic alternatives. His multi-functional inspection robot research further showcases his ability to design versatile, cost-effective systems for real-world infrastructure challenges. Beyond infrastructure, Gibb has also explored multi-robot coordination through reinforcement learning, reflecting a broader interest in intelligent autonomous systems. Collectively, his work has accumulated nearly 200 citations, establishing him as a meaningful contributor to the growing field of robotics-driven infrastructure maintenance and evaluation.