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About

Alan J. Hunter is a robotics researcher whose work sits at the intersection of autonomous systems, underwater search technology, and artificial intelligence. His primary research areas include swarm robotics optimization, autonomous underwater vehicle (AUV) design, and the application of deep learning to sonar image analysis. Hunter’s most significant contribution is the development of the PRIME (Police Robot for Inspecting and Mapping underwater Evidence) system—a compact, low-cost unmanned surface vehicle designed to assist police search teams in shallow-water crime scene investigation and emergency response. This work has been cited 14 times and represents a practical step toward replacing dangerous, time-consuming diver operations with autonomous platforms. His 2021 paper on adapting Particle Swarm Optimization for robotic swarms has garnered 37 citations, demonstrating impact in the field of multi-robot coordination. More recently, Hunter has pioneered the use of convolutional neural networks for automated recognition of submerged body-like objects in sonar imagery (6 citations), directly addressing a critical need in forensic underwater search. His 2023 prototype for autonomous underwater crime scene investigation further solidifies his reputation as a researcher translating cutting-edge robotics into real-world public safety applications.