Patrick Dal Canto
Papers
1
Total Citations
15
H-Index
1
About
Patrick Dal Canto is a researcher whose work focuses on the control and coordination of multirobot systems, with a particular emphasis on aerial robotics. His most notable contribution is the development of the cluster space control framework, a novel approach that simplifies the specification and monitoring of geometry and motion characteristics for groups of mobile robots. This method, introduced in his 2010 paper on cluster space control of aerial robots (15 citations), offers an intuitive means of managing complex swarm behaviors by treating the robot team as a single entity. Dal Canto’s work builds on prior experimental validations of this approach in planar environments, extending its application to three-dimensional aerial systems. By enabling more straightforward control of robot clusters, his research has implications for search-and-rescue operations, environmental monitoring, and autonomous drone swarms. While his citation count reflects a focused, emerging impact, his contributions represent a foundational step in making multirobot coordination more accessible and practical for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Cluster space control of aerial robots15 citations · 2010