Damien Mondou

Papers

Total Citations

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About

Damien Mondou is a researcher at the forefront of human-robot interaction and educational technology, with a particular focus on integrating autonomous systems into cultural and learning environments. His work centers on the development of dynamic, scenario-based robotic applications that enhance user engagement, especially in museum settings. Mondou’s most cited paper, "A Dynamic Scenario by Remote Supervision: A Serious Game in the Museum with a Nao Robot" (2018, 9 citations), introduces a novel framework where a Nao robot serves as an interactive guide, blending serious gaming with remote supervision to create immersive, educational experiences. This contribution has been recognized for its innovative approach to bridging robotics and informal learning. More recently, Mondou has advanced the field with "Temporal automata for robotic scenario modeling with CIT framework" (2024, 2 citations), proposing a formal method to model and manage complex, time-sensitive robotic behaviors. His research not only pushes the boundaries of robotic autonomy but also offers practical tools for designing adaptive, real-world interactions. Mondou’s work is pivotal for students and researchers interested in the intersection of robotics, gamification, and cultural heritage, demonstrating how robots can become dynamic partners in education and storytelling.