Papers
3
Total Citations
15
H-Index
3
About
Mouad Abrini is a rising researcher at the forefront of social robotics and human-robot interaction, with a focus on making autonomous systems more intuitive, personalized, and socially compliant. His work bridges perception, motion planning, and user adaptation to enable robots to operate seamlessly alongside humans. Abrini’s key contributions include **Legibot**, a framework for generating legible robot motions using cost-based local planners, which allows service robots to clearly and quickly convey their intentions to nearby people—a critical capability for trust and safety in shared spaces. He also introduced **USER-VLM 360**, a pioneering approach to personalized vision-language models that adapt robot behavior to individual users through user-aware tuning, enhancing the quality of social interactions. Additionally, Abrini contributed to the **euROBIN First-Year Robotics Hackathon**, demonstrating a heterogeneous robot team capable of door-to-door parcel delivery, showcasing practical multi-robot logistics. With each of his most-cited papers garnering 5 citations in the short time since publication, Abrini’s work is already shaping the next generation of socially intelligent robots, earning him recognition as a key innovator in legible, user-aware, and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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