Carine Giovannangeli

Centre National de la Recherche Scientifique, Equipes Traitement de l'Information et Systèmes

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About

Carine Giovannangeli is a leading researcher at the intersection of computational neuroscience and autonomous robotics, whose work has fundamentally advanced how machines perceive, navigate, and learn from their environments. Her primary research areas include bio-inspired navigation, visual place cells, and sensory-motor learning. Her most influential contribution is the development of a robust model of visual place cells—neurons that encode spatial memory—which she validated in dynamic indoor and outdoor environments, demonstrating that neurobiological principles can dramatically improve robotic localization and navigation (39 citations). She further extended this work by designing a hippocampus-inspired neural architecture that enables goal-oriented action planning through cognitive map building and transient state prediction, allowing robots to autonomously learn and recognize transitions between places (30 citations). Notably, Giovannangeli has explored how human-robot interaction can serve as a cognitive catalyst for learning behavioral attractors, enabling robots to acquire complex sensory-motor tasks through guided demonstration. Her interdisciplinary approach—bridging precise neurobiological modeling with real-world robotic experiments—has established her as a pioneer in creating machines that can navigate and adapt with near-biological intelligence.