Papers
12
Total Citations
198
H-Index
8
About
Philip Moore is a prolific researcher whose work spans two deeply interconnected domains: intelligent manufacturing systems and autonomous robotics. With a career stretching from foundational work in robotic assembly in the mid-1990s to cutting-edge contributions in cyber-physical systems and cloud manufacturing, Moore has consistently pushed the boundaries of how machines perceive, adapt, and operate in complex environments. Moore's most influential contribution, "Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems" (2016, 87 citations), established a landmark framework for Industry 4.0-ready manufacturing, demonstrating how cloud environments can host scalable, adaptive equipment control. This work, complemented by related publications on cloud service control and robot-as-a-service architectures, has helped shape modern thinking around distributed, intelligent manufacturing. Equally significant is Moore's sustained research into autonomous robotic path planning, particularly under conditions of uncertainty. His development of algorithms such as Smooth-STC and hedge algebra-based knowledge inference methods reflects a commitment to making robots genuinely intelligent navigators in dynamic, real-world environments. His smart home robotics research further broadens this vision into everyday human spaces. Collectively accumulating nearly 200 citations, Moore's body of work represents a cohesive and forward-looking research agenda, making him a valuable reference point for students exploring robotics, automation, and intelligent systems.
Research Focus
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Top Papers
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- 7Adaptive Robot Control as a Service in Cloud Manufacturing8 citations · 2015
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