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About

Samir Alili is a pioneering researcher in human-robot interaction, with a focus on developing autonomous social robots capable of proactive and cooperative behavior. His work centers on creating decisional architectures that enable robots to plan, reason, and execute tasks in dynamic human environments. Alili’s most influential contribution is the SHARY supervision system (50 citations), which adapts robot behavior to human partners in real time. He further advanced the field with a task planner for autonomous social robots (32 citations) and a framework for human-robot cooperative task achievement (30 citations), addressing challenges like proactive behavior, goal generation, and intention explanation. His research uniquely interleaves symbolic and geometric reasoning (9 citations), bridging the gap between high-level planning and physical robotic execution. Alili’s architecture for proactive robot companions (2 citations) explores how robots can autonomously determine when and how to assist humans, freeing users from constant oversight. Through these contributions, Alili has established a robust foundation for socially intelligent robots that collaborate naturally with people, making his work essential reading for students and researchers in autonomous robotics and human-robot teamwork.