About us

The LEarning for Optimization and coNtrol (LEON) Group is part of the Dalle Molle Institute for Artificial Intelligence (IDSIA), a research institute located in Lugano, Switzerland, affiliated with the Department of Innovative Technologies at the Scuola Universitaria Professionale della Svizzera Italiana (SUPSI) and the Faculty of Informatics at the Università della Svizzera Italiana (USI).

The LEON Group is led by Dario Piga. The research activities of the team are at the intersection between dynamical systems, control theory, and machine learning, with several applications in the fields of robotics, manufacturing and process control.

LEON closely collaborates at IDSIA with researchers from the Imprecise Probability Group led by Prof. Marco Zaffalon and from the Robotics Lab led by Prof. Alessandro Giusti. Researchers of LEON also collaborate with international universities and industrial partners.

Most of the activities of the LEON Lab are financially supported through advanced research projects funded by the European Union, the Swiss Innovation Agency Innosuisse, the Hasler Stiftung and by other local and international research programs.
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Basic Research

Machine Learning

Optimization

System Identification

Optimal Control

Robot Control and Adaptation


Applied Research

Industrial Robotic

Exoskeleton

Precision Manufacturing

Human-robot collaboration

Process Control

Latest News

07th July 2023: Dario Piga and Marco Forgione received funding for the Eureka Eurostars project SLIMPEC - A Software suite for LearnIng-based embedded Model PrEdictive Control, in collaboration with ODYS s.r.l.
09th June 2023: IDSIA USI-SUPSI has been featured on the Swiss national television RSI 1 in an episode of the TV program Falò. See the episode here
25th April 2023: New paper on distributed active learning for black-box systems published in IEEE Control Systems Letters, Paper link
12th April 2023: Loris Roveda received a Grant from the Hasler foundation for the project GenAI - Generative Artificial Intelligence.
12th April 2023: Marco Forgione received a Grant from the Hasler foundation for the project QUACK - QUAntifying the unCertainty of dynamical neural networKs.
20th February 2023: Loris Cannelli received a Grant from the Hasler foundation for the project Black-box optimization in multi-agent networks: towards a distributed learning approach. Congratulation Loris!