Gregorio Marchesini

Gregorio Marchesini is a doctoral student at KTH Royal Institute of Technology, affiliated with the Department of Intelligent Systems under the School of Electrical Engineering and Computer Science. His research focuses on networked systems control under spatio-temporal and communication constraints, with an emphasis on formal methods for multi-agent systems in mixed autonomy environments. He is associated with the EU project SymAware, which develops situational awareness frameworks for autonomous systems.

His research interests include

• Signal Temporal Logic (STL) for task specification
• Multi-agent planning and control
• Graph theory and predictive control
• Formal methods in robotics

The articles he has co-authored address topics such as temporal logic planning, decentralized control, and communication-constrained optimization for multi-agent systems. These works often intersect with robotics, control theory, and autonomous navigation in complex environments.

Gregorio actively mentors students, encouraging collaboration on MSc thesis projects related to his research. His software contributions and technical insights, such as optimizing Model Predictive Control (MPC) using CasADi's to_function() and warm-starting techniques, are shared on platforms like GitHub and personal blogs. He is involved in the Decision and Control Systems (DCS) division, contributing to both theoretical and applied aspects of autonomous systems.