Papers
3
Total Citations
54
H-Index
2
About
Marion McAfee is a leading researcher at the intersection of robotics, manufacturing, and artificial intelligence, with a primary focus on human-robot collaboration and intelligent manufacturing systems. Her work addresses critical challenges in creating safer, more efficient industrial environments where humans and robots work side-by-side. McAfee’s major contributions include pioneering research on external sensor systems for human detection in collaborative robot (cobot) environments, which is essential for ensuring worker safety as industries increasingly adopt flexible automation. She has also made significant advances in soft sensing and sensor fusion for sustainable manufacturing, developing state estimator algorithms that enable accurate, real-time monitoring of unmeasurable process variables without additional hardware. More recently, McAfee has extended her expertise to pedestrian trajectory prediction, creating the GSTGM model—a graph-based, spatial-temporal attention framework that improves autonomous navigation in crowded urban spaces. Her most-cited work, a comprehensive review of human detection sensors for human-robot collaboration, has already garnered 30 citations since its 2024 publication, underscoring its timely impact. Through her innovative fusion of sensor technology, estimation theory, and deep learning, McAfee is shaping the future of safe, intelligent automation across both industrial and urban environments.
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