In this talk, I will discuss principles to consider when designing neurorobots to test brain theories and to build intelligent agents. I will provide background on the topic and present some of the latest work from our lab.
Human social cognition develops along highly diverse trajectories. I will discuss the diversity of social cognitive development from an open systems science perspective, with a particular focus on visualizing the dynamics of mother-infant interactions through multiple organ-layer indices, such as gut microbiota, autonomic nervous system, neural brain system, and behavior.
In this talk, I will discuss the relationship between structure and functions as a guide to search for a general adaptation process and the converging power that a discussion about the machinery implementing a cognitive architecture could provide for our ICDL community. I will do that by addressing a few questions: Can we understand functional development without explicitly referring to the structure of the underlying machinery? Can we study development without referring to evolution? And which scientific communities should enforce converging activities?
In this talk, I will discuss the links between spatial cognition and multimodal language from a developmental and individual differences perspective.
Humans easily learn complex manipulation skills like changing a car tire by observing other people or watching instructional videos, a capability unmatched by current artificial systems. This talk will highlight our progress towards enabling robots to have such visuo-motor learning capabilities.