Peter A. Beling

Papers

Total Citations

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About

Peter A. Beling is a leading researcher in the intersection of artificial intelligence, systems engineering, and smart manufacturing. His work centers on developing methodologies to integrate machine learning and formal logic into complex, autonomous systems. Beling’s major contributions include the creation of Adaptive Multi-scale Prognostics and Health Management (AM-PHM), a framework that elevates component-level health data to inform high-level decision-making in smart manufacturing, as detailed in his 2015 paper (10 citations). He also pioneered the use of Linear Temporal Logic (LTL) for monitoring collaborative robots in smart manufacturing systems (7 citations), enabling the classification of behaviors that achieve high-level tasks. In the realm of multi-agent coordination, Beling developed the RoboCops simulation test bed (5 citations), a benchmark for evaluating decentralized algorithms in pursuit-evasion games. His recent work (2024) extends the Automatic Test Markup Language (ATML) standard to support machine learning operational testing, addressing critical needs for edge ML in robotics and unmanned systems. With a career spanning foundational theory and practical standards, Beling’s research continues to shape how intelligent systems are monitored, coordinated, and tested.