15h30-16h30 – Salle des séminaires (L2S)
Co-design of Complex Systems: From Embodied Intelligence to Mobility Systems
Abstract. When designing autonomous systems, we need to consider multiple trade-offs at various abstraction levels, and choices of single components need to be studied jointly.
For instance, the design of future mobility solutions (autonomous vehicles, micromobility solutions, etc.) and the design of the mobility systems they enable are closely coupled. Indeed, knowledge about the intended service of novel mobility solutions would impact their design and deployment process, whilst insights about their technological development could significantly affect transportation management policies.
In this talk, I will present a framework to co-design complex systems, instantiated in the purpose of co-designing future mobility systems all the way from the policies the city can design to the embodied intelligence in autonomous vehicles, leveraging a monotone theory of co-design and tools from game theory.
Through various case studies, I will show how this approach allows one to solve heterogeneous problems, unifying different modeling techniques and promoting interdisciplinarity, modularity, and compositionality. Finally, I will discuss current and future challenges, and will provide some points for discussion.
Biography. Gioele Zardini is a Ph.D. Candidate in Prof. Emilio Frazzoli’s group at the Institute for Dynamic Systems and Control, ETH Zurich. He received his BSc. and MSc. in Mechanical Engineering with focus in Robotics and Control from ETH Zurich in 2017 and 2019, respectively. During his studies, he spent time in Singapore as a researcher at nuTonomy (then Aptiv, now Motional), Stanford University (in Prof. Marco Pavone’s Autonomous Systems Lab) and at MIT (in Dr. David Spivak’s group).
His research interests include the co-design of complex systems, compositionality in engineering, autonomous mobility-on-demand, planning and control, and game theory.
He is the recipient of an award (keynote) at the 2021 Applied Category Theory Conference, and of the Best Paper Award (1st Place) at the 2021 24th IEEE International Conference on Intelligent Transportation Systems (ITSC).