Predictive Robots

“Predictive Robots” is a Marie Skłodowska Curie Individual Fellowship funded by the EU-H2020 Research and Innovation programme (2018 call, grant agreement No. 838861).
Within this project, models of infants development and of brain processes are applied into artificial systems. In particular, this project investigates: (1) predictive models for adaptive robot behaviours, where the interplay between online learning, episodic memory mechanisms, deep neural networks, and predictive processes is exploited for implementing intelligent exploration behaviours in robots; (2) predictive processes for enhancing robot perception, where raw sensory input are combined with sensory predictions in order to produce more informative data; (3) predictive processes as a prerequisite for an artificial Self, aiming at providing insights in the understanding of the mechanisms behind subjective experience and in its possibility in robots.
The aim of the project is also to apply these computational models onto different robotic platforms, including humanoids, marine drones, and soft robots.
The project is hosted by the BioRobotics Institute of the Scuola Superiore Sant’Anna (Pisa, Italy) at Prof. Cecilia Laschi’s lab.”

PI: Dr. Guido Schillaci