Join us for a session on reproducibility in robotics, featuring two leading researchers tackling one of the field’s most pressing challenges: ensuring that systems work reliably beyond a single setup. Prof. Enric Cervera Mateu will follow with “It Works on My Machine—And Yours: Engineering Reproducibility in Robotics,” focusing on practical strategies, tools, and best practices to ensure that robotic systems can be reliably reproduced by others. Dr. Tobias Fischer will present “Beyond Containers: Cross-Platform Reproducibility for Robotics in the ML Era,” exploring how modern machine learning systems in robotics can be made robust and reproducible across different platforms and environments.
This session will provide valuable insights into building more open, reliable, and transferable robotics systems!
There is NO CHARGE for this event, but space is limited. Register in advance!