Dear All,
Please find attached the invitation to a virtual seminar at IDSIA. Our speaker is Dr Marco
Gallieri of NNAISENSE. The title of his talk is:
Deep Learning meets Control Theory: Control Research at NNAISENSE
The talk will take place online at
https://open.meet.switch.ch/IDSIATalk
<
https://open.meet.switch.ch/IDSIATalk> on the 3rd of June at 12pm (12h00).
Please share this invitation with whoever might be interested. We hope to have “in
presence” talks in te future, but we also hope that remote attendance will be always
possible.
Abstract
NNAISENSE is a startup originating from IDSIA. The Swiss AI lab has a long lasting track
record of ground-breaking results in artificial intelligence (AI). From perception to
reinforcement learning, the company follows IDSIA’s steps in the search for super-human
performance to take AI technology into manufacturing and control systems. While AI
approaches control problems from an information theoretical and statistical perspective,
control theory studies the closed-loop behaviour of the physical world with a strong focus
on safety, hard constraints and theoretical guarantees. Control approaches can be very
robust but they can seldom be conservative due to their assumptions. This is believed to
be less of a problem for Neural Networks (NN) and AI, where non-conservative results can
be achieved but it is generally harder to have formal results. NN performance depends
mainly on the quality and the amount of data and no unified framework exist for the
analysis of stability and robustness of NN-driven control and Reinforcement Learning (RL).
For this reason, while deep learning is becoming the industry standard for perception, its
use in control is mostly limited to simulated or non-critical tasks. Combining the fields
of control and AI has the potential for retaining the best of both Worlds. This talk will
introduce NNAISENSE’s most significant publications in this emerging field, with a special
focus on the latest one: “Neural Lyapunov Model Predictive Control”.
Short Bio
Marco Gallieri is a Senior Researcher at NNAISENSE, in Lugano. Since September 2017, he
has been forming and leading a team of experienced researchers working at the intersection
of dynamics & control and AI. Thile being industry-focused, they authored several
publications in top AI venues. His research interests include the study of safety of deep
and recurrent neural networks as well as their use in control systems for safety-critical
applications and safe RL.
Before joining NNAISENSE, he spent nearly four years with the McLaren group, where he
developed a model based Li-Ion battery management system for the F1 power unit and a
prototype for next generation F1 driver-in-the-loop simulator. He then worked as a data
scientist in the R&D consulting branch of the group.
He received a PhD in Engineering from Sidney Sussex College, the University of Cambridge,
in 2014. His PhD Thesis was on LASSO-MPC and is published by Springer. In 2009 he
received an MSc in automation engineering from the Universita’ Politecnica delle Marche,
in Italy. He wrote his MSc thesis during a visiting term at the National University of
Ireland, Maynooth. In 2010 he was a Marie Curie early stage researcher at the Instituto
Superior Tecnico in Lisbon working on non-linear formation control algorithms for
autonomous underwater vehicles.
_____________________________________
Istituto Dalle Molle di studi sull’intelligenza artificiale USI - SUPSI
Prof Dr Andrea Emilio Rizzoli
Direttore
Galleria 2
CH-6928 Manno
T +41 (0)58 666 66 64
F +41 (0)58 666 66 61
andrea(a)idsia.ch <mailto:andrea@idsia.ch>
http://www.idsia.ch <
http://www.idsia.ch/>