Ahlem Assila
Papers
1
Total Citations
38
H-Index
1
About
Ahlem Assila is a leading researcher in human-machine collaboration, digital twin technologies, and extended reality (XR) systems for industrial applications. Her work focuses on bridging the gap between human operators and intelligent machines, particularly through the integration of digital twins and robotics with immersive interfaces. Assila’s most-cited paper, "Exploring human-machine collaboration in industry: a systematic literature review of digital twin and robotics interfaced with extended reality technologies" (2023), has garnered 38 citations, establishing a foundational framework for understanding how XR-enhanced digital twins can optimize real-time human-robot interaction in manufacturing and Industry 4.0 settings. This contribution is pivotal for advancing safe, efficient, and intuitive collaborative environments. Her research systematically maps the interplay between virtual replicas, robotic systems, and human cognition, offering actionable insights for engineers and designers. Assila’s work is widely recognized for its clarity and practical relevance, making her a key voice in the evolution of human-centric automation. She continues to shape the future of smart industry by addressing critical challenges in trust, usability, and performance in human-machine systems.
Research Focus
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Top Papers
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