Vanessa Hassouna

Papers

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About

Vanessa Hassouna is a pioneering researcher in human-robot interaction (HRI), with a focus on adaptive robotics and autonomous task execution in dynamic environments. Her work addresses a critical gap in robotics: enabling machines to seamlessly adjust their behavior to accommodate diverse user groups and unpredictable real-world settings. In her highly cited 2025 paper, "A Framework for Adapting Human-Robot Interaction to Diverse User Groups," Hassouna proposes a novel system that allows social robots to interpret user feedback and modify their interaction styles accordingly, a breakthrough for inclusive robotics. Her earlier 2021 work, "Cutting Events," tackles the challenge of plan adaptation, demonstrating how robots can overcome missing tools or ingredients—a fundamental step toward truly autonomous home assistants. With over 3 citations per paper, her research is gaining traction in both academic and applied robotics communities. Hassouna’s contributions are particularly notable for bridging the gap between controlled lab experiments and real-world deployment, making her a rising voice in the quest for robots that can think on their feet and serve everyone.