To responsibly integrate AI-enabled robots into society, we must ensure their behavior is robust in unexpected environments and tasks, and that they can generate resilient behavior as needed. This necessitates addressing a critical AI-enabled robotics question: How can AI methods enhance robot robustness and resilience, and how can robust and resilient AI methods be developed? Addressing this requires exploring principles and methods for achieving robustness and resilience that consider multiple factors, rather than focusing on a single attribute like safety, and are applicable throughout a robotic system's life cycle to ensure long-term robustness.

This research meeting is organized by the Robotics Institute Germany, specifically the Thematic Cluster on Safety, Reliability, and Resilience of AI-enabled Robotics, and brings together researchers from diverse disciplines. Our objectives are to push the research frontier in the field by strengthening collaboration among key research groups in Germany, and by jointly developing a research roadmap that identifies promising directions toward robust and resilient AI-enabled robots across a wide range of application domains.

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Nico Hochgeschwender