“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, I apply models of infants development and of brain processes into artificial systems. In particular, I investigate: (1) predictive models for adaptive robot behaviours, where the interplay between online learning, 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. It started on May, 15 2019 and will last for 24 Months.
For updates about the project activities check my posts, the project’s twitter account (@predictive_robot) and read the papers listed in my publications page marked with the Predictive Robots logo.
Do you want to know more about the project? Watch this video!