Artificial Cognitive Systems Group
At ArtCogS, we study how intelligent agents perceive, learn, reason, and act in complex environments. Our work places strong emphasis on Reinforcement Learning, multi-agent interactions, and cognitive modelling, aiming to understand and engineer adaptive behaviours in artificial systems.
As part of the Athena Research Center, we develop both theoretical foundations and applied solutions that bring together agent-based simulation, MARL, heterogeneous robotics, and cognitive architectures. Our systems operate in dynamic, uncertain environments—ranging from autonomous UAV/UGV collaboration to crowd simulation, digital twins, and XR-based interactive environments.
Our mission is to advance artificial cognition by building intelligent agents and multi-agent ecosystems capable of autonomous decision-making, meaningful interaction, and scalable real-world impact.
Key Research Directions
Our research spans a wide spectrum of AI-driven fields, combining theoretical foundations with real-world applications across intelligent systems, robotics, and immersive environments.
Autonomous decision-making, interaction, and coordination.
Adaptive learning in dynamic and uncertain environments.
Human, animal, crowd, and multi-entity behavioral simulation.
MARL-based emergent strategies and interaction modeling.
UAV–UGV-robotic arm cooperation, autonomous systems, and teleoperation.
Collective behaviors, distributed control, multi-agent coordination.
Human–robot collaboration, shared autonomy, intelligent assistance.
AR/MR/VR platforms for simulation, training - Digital Twin aproaches.
Interactive AI-driven digital humans for simulation & learning.
Chatbots, RAG pipelines, LLM agents, and personalized content delivery for adaptive AI-driven experiences.