News
On Friday 18 December 2026, 10:00–10:30, Mauro Franceschelli will give the highlight talk “Learning for Multi-Agent Systems” (FrAHT5.1) at the 65th IEEE Conference on Decision and Control (CDC 2026), Honolulu, Hawaii, USA. The talk introduces the session “Learning and Control for Multi-Agent Systems” (FrAT5).
Five papers co-authored by Mauro Franceschelli will be presented at the 65th IEEE Conference on Decision and Control (CDC 2026), Honolulu, Hawaii, USA, 15–18 December 2026: “Consensus in Open Multi-Agent Systems over Directed Graphs with Asynchronous Interactions and Unannounced Departures” (TuAT3.14, 15 December); “Certification of Learning-Based Feedback Linearization under Measurement Perturbations” (WeAT1.14, 16 December); “Distributed Potential-Based Coordination within Open Multi-Agent Systems” (ThAT3.13, 17 December); “Optimization and Learning in Open Multi-Agent Systems” (FrAT5.9, 18 December); “Composite Optimization in Open Multi-Agent Systems under Additive Errors” (FrAT5.10, 18 December).
Mauro Franceschelli and Diego Deplano taught the course “Introduction to Open Multi-Agent Systems” at the S.I.D.R.A. PhD Summer School, Bertinoro, Italy, 13–18 July 2026 (see Teaching).
The research project ROSAS (RObotica general purpose as-a-Service per l'Agroindustria Sarda), with Mauro Franceschelli as Principal Investigator, has been funded by Sardegna Ricerche (2026–2028).