Maroua Bouzid

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About

Maroua Bouzid’s research lies at the intersection of robotics, human-robot interaction, and autonomous decision-making, with a particular focus on enabling robots to operate safely and intelligently in complex, unpredictable environments. Her most cited work, "Humans-Robots Sliding Collaboration Control in Complex Environments with Adjustable Autonomy" (2012, 26 citations), addresses a critical challenge: how autonomous agents can adapt their behavior when faced with partial knowledge and sudden changes, ensuring seamless collaboration with humans. Bouzid is also a pioneer in integrating ontological reasoning into robotics, as demonstrated in "Ontology Based Spatial Planning for Human-Robot Interaction" (2010, 18 citations), where she developed spatial representation and reasoning systems that allow robots to understand and navigate shared spaces with human partners. Her additional work on "Vector Valued Markov Decision Process for robot platooning" (2008) and "A Spatial Ontology for Human-Robot Interaction" (2010) further underscores her commitment to formal models for multi-robot coordination and spatial cognition. Through her contributions, Bouzid has advanced the field of adjustable autonomy, providing foundational frameworks that enhance robot adaptability, safety, and social awareness—key for applications in assistive robotics, autonomous driving, and collaborative manufacturing.