Safe Control and Learning in Autonomous Systems

Full-day Workshop ECC25 @ Thessaloniki Concert Hall, Thessaloniki, Greece
24 June 2025
Registration

Autonomous systems are rapidly gaining popularity across safety-critical domains such as transportation (both in the air and on the ground), logistics, healthcare, and space exploration. However, ensuring their safe, efficient, and reliable operation remains a significant challenge, especially in dynamic, uncertain, and adversarial environments. Addressing these challenges requires a synergistic integration of dynamical systems and control theory, machine learning, and optimization techniques. This workshop will explore the latest advancements in control and learning strategies for autonomous systems, with a focus on ensuring safety and robustness in autonomous systems. Key topics include but are not limited to:

• Safety-critical control for autonomous systems;
• Safe and robust learning in dynamic and uncertain environments;
• Formal methods for learning and control;
• Decentralized decision-making, control, and learning for multi-agent autonomous systems;
• Applications in robotics, autonomous vehicles, aerospace, and beyond.

This workshop aims to bridge the gap between theoretical advancements and practical implementations by bringing together experts in control theory, machine learning, robotics, and game theory. Through invited talks and interactive discussions, we will promote a deeper understanding of safety-critical learning and control methodologies for autonomous and multi-agent systems. This workshop will provide a platform for researchers and practitioners to exchange ideas, identify open challenges, and explore future directions in this rapidly evolving field.

Speakers

Schedule

This full-day workshop, running from 9:00 AM to 5:15 PM, will feature eleven speakers, each delivering 30-minute presentations including 5-minute Q&A sessions. The program is shown below.

Organizers