Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

–AIHub 

Raphael Memmesheimer has been successfully competing in the RoboCup@Home league winning the RoboCup@Home competition five times. He and his colleagues won the best paper award at RoboCup 2026 for their work "Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation" . We caught up with Raphael to find out more about this research, his history with RoboCup, and the challenges of the @Home competition. Could you start by telling us how you got involved with RoboCup@Home? I've actually been involved in the @Home league since I was a student, and my first time going to a World Cup for @Home was in 2013.