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.
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.
Basic Research
Optimization
System Identification
Optimal Control
Robot Control and Adaptation
Applied Research
Industrial Robotic
Exoskeleton
Precision Manufacturing
Human-robot collaboration
Process Control
Latest News
| 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! |
| 05th December 2022: Marco Forgione and Dario Piga received funding for the Eureka Eurostars project HIRA - Hybrid InfraRed System for Affective Computing from Innosuisse. |
| 15th October 2022: Filippo Pura received a prize from the Nizzola Foundation for the project Hybrid physical-based and data-driven modelling for the automated calibration of laser cutting parameters |
| 22nd August 2022: The paper Preference-Based Optimization of a Human-Robot Collaborative Controller by Loris Roveda, Marco Maccarini, Filippo Pura and Dario Piga will be presented at the SYROCO 2022 in Matsumoto, Japan. |
| 26th July 2022: Dario Piga received a Grant from the Hasler foundation for the project Learning from wise: a new machine learning paradigm to leverage model rationality. |
| 15th July 2022: The paper Multi-Objects Robotic Grasping Optimization Employing a 2D camera by Loris Roveda, Marco Maccarini, Filippo Pura, Asad Ali Shahid and Dario Piga will be presented at the ICECCME 2022 in Male, Maldives. |