Autonomous and Intelligent Systems
This track investigates architectures and algorithms for intelligent, cooperative autonomous systems, integrating perception, decision-making, and control.
The research covers unmanned aerial vehicles, multi-agent systems, reinforcement learning, cooperative control, sensor fusion, and embedded AI. Applications include environmental monitoring, agriculture, logistics, and defense. Scientific challenges include autonomy, robustness, distributed coordination, and energy efficiency.
Principal Investigators: Julio C. S. Anjos, Edison Pignaton de Freitas, César Marcon
Institutions involved: UFC, UFRGS, PUCRS