Roboticist and AI reseacher
The Predictive Robots project is now associated to the German DFG Priority Programme “The Active Self”, an interdisciplinary network of more than 20 projects investigating the sensorimotor grounding of the human minimal self!
ALIFE 2019 Conference Proceedings are published in MIT Press. Check out our new paper on “Ego-Noise Predictions for Echolocation in Wheeled Robots”, authored by Antonio Pico, me, Verena Hafner and Bruno Lara: https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00222
Happy that our paper on “An Interdisciplinary Overview of Developmental Indices and Behavioral Measures of the Minimal Self“, written with Yasmin Kim Georgie and Verena Hafner, is one of the five nominees for the best paper award at IEEE ICDL-Epirob!
Pre-print available here http://arxiv.org/abs/1907.00709
The EU-H2020 MSCA-IF Predictive Robots project is also about spreading the adoption of a developmental paradigm and of predictive processes for different robotic applications. Greenhouses are complex systems that can be controlled, and whose states – and those of their crops – can be measured with a rich variety of sensors. From this point of view, they are not much different than robots. So, why not applying the ideas of developmental robotics on innovative greenhouses, as well?
Luis Miranda and I presented a work on “Adaptive Architectures towards portability of Greenhouse Models” at Greensys 2019, in Angers, France.
Adaptive models, trained in an incremental fashion, will help transferring knowledge between lab facilities and production greenhouses!
Pre-print of the paper available soon!
Delighted that my proposal for a EU-H2020 Marie Skłodowska Curie Individual Fellowship on “Predictive Robots” has been accepted! The project will be hosted by the BioRobotics Institute of the Sant’Anna School of Advanced Studies (Pisa, Italy). More research on developmental robotics, predictive models and on the artificial self coming soon!
A video of the Sony LettuceThink agricultural robot exploring the movements of its image sensor and learning visuo-motor coordination.
Funded by the EU-H2020 ROMI (Robotics for Microfarms) project.
More info at https://romi-project.eu/
Humanoid Robot learning auditory-motor mappings (EU-FP7 EARS project)
Self-exploration behaviours in the humanoid robot Nao (EU-FP7 Marie Curie ITN INTRO)
