Andrea Perizzato
Papers
2
Total Citations
42
H-Index
2
About
Andrea Perizzato is a researcher specializing in distributed predictive control and multi-robot coordination, with a particular focus on autonomous unicycle robots. His major contributions lie in developing advanced control schemes that enable fleets of small-scale vehicles to navigate complex environments while maintaining formation and avoiding collisions. In his most-cited work, "Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots" (2015), which has garnered 33 citations, Perizzato demonstrates how multi-level distributed predictive control can be effectively applied to real-time motion and coordination challenges. His follow-up paper on formation control and collision avoidance (2015, 9 citations) further refines these methods, introducing a framework that guarantees inter-robot and obstacle collision avoidance through predictive modeling. Perizzato’s research is notable for bridging theoretical control theory with practical robotics applications, offering scalable solutions for autonomous systems. His work has significant implications for swarm robotics, autonomous transportation, and industrial automation, making him a key figure in the advancement of distributed control strategies for multi-agent systems.
Research Focus
Key Achievements
Top Papers
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