VRAIN develops artificial intelligence for autonomous systems and robotics, focusing on intelligent coordination, decision-making, and human-robot collaboration. Our research addresses the challenges of autonomous navigation, fleet management, and adaptive behavior in dynamic real-world environments including urban mobility, logistics, and service robotics.

Our SimFleet platform enables simulation and coordination of autonomous vehicle fleets in urban environments, supporting research on route optimization, resource allocation, and coordination strategies for shared mobility services. We develop multi-agent platforms like SPADE and Magentix2 that provide the foundation for distributed autonomous systems, enabling robots and autonomous vehicles to communicate, negotiate, and collaborate effectively. These technologies combine automated planning for decision-making with machine learning for perception and adaptation.

VRAIN's autonomous robotics research spans from theoretical foundations in multi-agent coordination to practical applications in autonomous urban transport, delivery robots, and human-as-a-service systems where autonomous agents support human decision-making. Our work emphasizes human-centered approaches that keep people in the loop, ensuring that autonomous systems augment rather than replace human capabilities while maintaining safety and ethical operation.