Talk by Asst. Prof. Eduardo Montijano with title "Learning to control large teams of robots"

When

8 November 2024, 17:00 Athens time

Where

• Remote via Zoom Link (Meeting ID: 927 7232 1162, Password: 673118)
• MLDS Students: Science Building 145Π58

Abstract

Controlling large teams of robots is a crucial challenge in robotics, due to the need for solutions that balance efficiency, scalability, and robustness. This talk will delve into recent advancements in learning-based control for multi-robot systems, with a focus on scalable coordination and decentralized decision-making. I will present the latest results we have achieved to efficiently learn distributed control strategies for large teams of robots, leveraging physics-informed machine learning and generative AI techniques. We will see how physics-informed learning can be used to provide the learned controllers three key properties: interpretability, modularity, and scalability. Similarly, we will demonstrate how generative AI can be used to ease interaction with non-expert users to describe desired large-scale swarm configurations, producing smooth trajectories and accounting for potential collisions through a reactive navigation algorithm.

Bio

Eduardo Montijano is an Associate Professor in the Departamento de Informática e Ingeniería de Sistemas at Universidad de Zaragoza in Spain. He received the M.Sc. and Ph.D. degrees from the Universidad de Zaragoza, Spain, in 2008 and 2012 respectively. He was a faculty member at Centro Universitario de la Defensa, Zaragoza, between 2012 and 2016. His research interests are in the field of distributed algorithms applied to cooperative control and perception of multi-robot systems.