Marcello Farina
Papers
5
Total Citations
81
H-Index
3
About
Marcello Farina is a leading researcher in distributed control systems, with a focus on model predictive control (MPC) and its applications to multi-agent robotics. His most influential work, "An Approach to Distributed Predictive Control for Tracking–Theory and Applications" (2014, 34 citations), introduces a hierarchical algorithm that guarantees state and control constraints for dynamically coupled subsystems—a foundational contribution to the field. Farina extends this theory to practical robotics, notably in "Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots" (2015, 33 citations) and "Formation control and collision avoidance of unicycle robots with distributed predictive control" (2015, 9 citations), where he develops multi-level DPC schemes enabling formation control and inter-robot collision avoidance. Demonstrating real-world impact, his recent work on the "smart tether system" for a robotic guide for blind and visually impaired users (2023, 3 citations) and the BUDD-e project (2023, 2 citations) reflects a commitment to inclusive design, merging control theory with assistive technology. Farina’s research bridges rigorous theory and tangible applications, making him a key figure in distributed control and socially relevant robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5