Research topic: Understanding curiosity-driven behavior and the underlying cognitive, computational and neuronal mechanisms in infants, children and adults, during normal and abnormal development.
Research methods: computational models; behavioral measures; behavioral monitoring, e.g. facial expressions and body pose; social robotics; humanoid robotic platforms.
Projects in the lab include:
- Quantitative model-based assessment of curiosity in adults: assessing subjects’ behavior during a curiosity game, using facial expression and body pose monitoring.
- Development of full-scale brain-inspired computational models of perception, learning and behavior: intrinsic motivation and unsupervised learning-based models of emergent skills and perceptual capacities.
- Implementation of brain-inspired computational models in social robots: comparison of emergent exploration behaviors in robots to normal and abnormal behavior in infants and children.