Abstract
The DOCEAT project, carried out at the University of Bologna, focuses on the development of robust control techniques for autonomous robotic agents operating in complex and partially structured environments. The research combines theoretical advances with practical applications, addressing the challenges of robustness, adaptability, and performance under uncertainty and dynamic conditions. Particular attention is given to active sensing and multi-robot cooperation, aimed at optimizing distributed perception and planning, with applications ranging from exploration and search-and-rescue to precision agriculture. Specifically, the project develops methodologies for the rapid localization of avalanche victims in extreme scenarios, extends trajectory-tracking techniques to Bézier curve navigation, defines a unifying theoretical framework based on the internal model principle for nonlinear and non-minimum phase systems, and advances the automation of agricultural processes through computer vision and advanced sensing. The outcomes provide innovative contributions to autonomous robotics, with significant theoretical and practical impact.
Project details
Unibo Team Leader: Lorenzo Marconi
Unibo involved Department/s:
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"
Coordinator:
Università degli Studi di FIRENZE(Italy)
Total Unibo Contribution: Euro (EUR) 60.000,00
Project Duration in months: 24
Start Date:
28/09/2023
End Date:
28/02/2026
