Philip Breedon
Papers
11
Total Citations
185
H-Index
6
About
Philip Breedon is a multidisciplinary researcher whose work bridges robotics, advanced manufacturing, human-robot interaction, and clinical health technology. He has made significant contributions to the application of 3D depth-sensing cameras in healthcare, most notably through his widely cited 2018 study on the Intel RealSense camera for measuring clinical health outcomes, which has garnered 89 citations and helped establish depth-sensing technologies as viable tools in medical research. His work in additive manufacturing explores process optimisation for low-cost industrial robotics, demonstrating practical pathways for integrating 3D printing into robotic design pipelines (31 citations). Breedon has increasingly focused on the evolving human-robot relationship within smart manufacturing environments, investigating cognitive workload, psychological safety, and trust in collaborative robot (cobot) settings using multimodal neurophysiological and behavioural measures — research that speaks directly to Industry 5.0's human-centric vision. His explorations of neuroimaging and physiological monitoring in human-robot collaboration reflect a commitment to worker wellbeing alongside productivity. More recently, he has advanced bio-composite meta-structure design and spherical parallel manipulator development, pushing boundaries in both materials science and precision robotics. Spanning over two decades, Breedon's career exemplifies a rare capacity to connect cutting-edge engineering with meaningful human and clinical applications.
Research Focus
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Top Papers
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