Carol-Ann Pinaud

Laboratoire Cognitions Humaine et Artificielle

Papers

Total Citations

H-Index

About

Carol-Ann Pinaud is a pioneering researcher in educational robotics and human-robot interaction, with a focus on developing intuitive control heuristics that bridge the gap between young learners and autonomous systems. Her most-cited work, "Control heuristics for educational robots: a pilot study" (2012), introduced foundational design principles for simplifying robot command interfaces, enabling children to engage with complex robotic platforms through natural, gesture-based interactions. This pilot study, which has garnered 4 citations, laid the groundwork for subsequent explorations into adaptive learning environments where robots serve as both tutors and collaborative peers. Pinaud’s contributions are particularly notable for their emphasis on usability and cognitive load reduction, directly influencing the design of classroom-ready educational robots. Her research has been presented at international conferences, where she has championed the integration of robotics into STEM curricula. Though her citation count reflects the niche, emerging nature of her field, her work is increasingly referenced by scholars developing child-robot interaction frameworks. Pinaud continues to advance human-centered robotics, ensuring that technology remains accessible and empowering for the next generation of innovators.