Papers
3
Total Citations
24
H-Index
3
About
Patricio Moreno is a robotics researcher specializing in multi-robot systems, autonomous aerial vehicles, and advanced formation control. His work sits at the intersection of control theory, human-robot interaction, and practical robotics applications, with a particular focus on developing mathematically elegant and operationally effective coordination frameworks for robot teams. Moreno's most significant contribution to the field is his development of dual quaternion-based formation control, published in 2021 and already accumulating 17 citations. By combining dual quaternion pose representations with the cluster-space coordination paradigm, he demonstrated measurable performance improvements over prior formation control approaches, offering a more unified and computationally efficient treatment of both position and orientation for leader-follower robot teams. Extending this foundational work, Moreno has applied cluster-space methods to unmanned aerial vehicle (UAV) fleets, enabling single-pilot teleoperation of multi-UAV formations through feed-forward operator inputs. His creative application of these principles to aerial cinematography — conceptualizing a UAV team as a fully articulated robotic jib crane — highlights his ability to bridge rigorous control theory with compelling real-world use cases. Together, his research contributions reflect a consistent drive to make multi-robot coordination both theoretically sound and practically deployable.
Research Focus
Key Achievements
Top Papers
- 1Dual Quaternion Cluster-Space Formation Control17 citations · 2021
- 2Multi-UAV Specification and Control with a Single Pilot-in-the-Loop4 citations · 2020
- 3Aerial Multi-Camera Robotic Jib Crane3 citations · 2021