Peter Gorm Larsen

Matteo Saveriano

Ganix Lasa Erle

Richard J. Duro

Maximilien Naveau

When Robots Learn: Safety & Trust in Adaptive Robotics

RoboSAPIENS

When robots learn: insights into safety and trustworthiness in robotic autonomous adaptation from EU projects

As robots move from fixed programming to systems capable of learning and adapting in real time, ensuring safety and trustworthiness becomes a central challenge for both research and industry. This webinar brings together several EU-funded projects—RoboSAPIENS, Pillar Robots, AGIMUS, INVERSE, and EARASHI—to exchange practical learnings on how robotic autonomous adaptation can be developed and deployed safely.Through a structured roundtable, participants will compare approaches and use cases from their projects, highlighting what works in practice when systems adapt at runtime. The discussion will focus on concrete methods for ensuring safety, validating evolving behaviour, and managing the balance between autonomy and control in real-world settings.The session aims to provide a grounded, cross-project perspective on practical solutions, lessons learned, and remaining challenges in building trustworthy adaptive robotics.

Agenda

Welcome and Intro

EU Project Introduction | RoboSAPIENS

EU Project Introduction | PILLAR Robots

EU Project Introduction | INVERSE

EU Project Introduction | AGIMUS

EU Project Introduction | EARAHI

Roundtable Discussion | All

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When Robots Learn: Safety & Trust in Adaptive Robotics

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When Robots Learn: Safety & Trust in Adaptive Robotics

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