Papers
14
Total Citations
263
H-Index
9
About
Marie-Pierre Pacaux-Lemoine is a prominent researcher specializing in human-machine cooperation, levels of automation, and human factors engineering, with particular focus on how humans and machines can work together more safely and effectively across complex, dynamic environments. Her work spans industrial automation, mobile robotics, human-robot teaming, and assistive technologies, making her a versatile and influential voice in the field. Among her most significant contributions is her development of theoretical frameworks for designing and adapting levels of automation based on human-machine cooperation models, earning widespread recognition across the research community with papers accumulating citations in the dozens. Her 2021 work applying cognitive work analysis to Industry 4.0 design challenges has already garnered 53 citations, reflecting the timeliness and relevance of her research to modern manufacturing transformation. Pacaux-Lemoine has also made notable strides in accessibility technology, exploring brain-computer interfaces combined with emulated haptic feedback to enable individuals with tetraplegia to cooperate with remote robots. Her concept of a "Common Work Space" for mutual human-machine situational awareness has become a foundational idea in cooperative systems design. Collectively, her research addresses critical questions of safety, performance, and human dignity in increasingly automated worlds.
Research Focus
Key Achievements
Top Papers
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- 3Layers of shared and cooperative control, assistance, and automation46 citations · 2018
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- 6From Human-Human to Human-Machine Cooperation in Manufacturing 4.017 citations · 2021
- 7Human-Robots Team Cooperation in Crisis Management Mission13 citations · 2018
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