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.

The ninth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) is taking place in Malmö, Sweden from 12-14 October 2026. The panel discussion will take place on Tuesday 13 October. Find out more at the conference webpage . Lucy Smith is Senior Managing Editor for AIhub. Lucy Smith is Senior Managing Editor for AIhub.

This year, RoboCup will be held in Incheon, South Korea, from 2-6 July. The event will see teams take part in competitions, training sessions, and a symposium. It's an exciting time for RoboCup, as there have been some updates to the leagues and competition format . Most prominently, the soccer leagues will have a primary focus on humanoid robots. A workshop focused on sharing projects, experiences, and innovations in educational robotics.

This post contains a list of the AI-related seminars that are scheduled to take place in the next couple of months. All events detailed here are free and open for anyone to attend virtually. Eleni Petraki and Damith Herath (University of Canberra) Raspberry PI Sign up here to join. Gaétan Hains, Paola Inverardi, and Alexander Wolf The Digital Humanism (DIGHUM) Initiative The talk will be livestreamed on YouTube here . Tyler Summers (University of Texas at Dallas) EPFL The Zoom link is here .

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we meet AI pioneer Ken Goldberg, use AI techniques to track animal populations, investigate how to improve recommender systems, and find out how external knowledge is used in AI systems. In the latest instalment in our AI pioneers series, we spoke to award-winning roboticist, filmmaker, and artist, Ken Goldberg . We discussed the culture clash within robotics, what art and science have to learn from each other, and how AI will shape the future of art. Deep learning is a powerful tool for understanding animal behaviour and tracking populations.

This will take place at 11:00 on Tuesday 29 September. Find out more here .

In their paper Optimizing Sensor Placement with Greedy Algorithms: A Case Study in Wildlife Camera Trapping for Spatial Capture-Recapture Population Estimation, and present an approach for optimizing sensor placement for wildlife population counts. We caught up with first author Hannah to find out more about this work, which was presented at IJCAI-ECAI 2026 . What is the topic of the research in your paper, and why is it an interesting area for study? In our research, we set out to develop optimization methods that help ecologists determine where to place sensors, such as camera traps, to get precise estimates of species population counts from the data they collect. This information is integral for ecologists to measure ecosystem health and to develop effective conservation management strategies, but they usually work under strict budget constraints.

Marcin Wilkowski / More info please / Licenced by CC-BY 4.0 The Future of AI Research report, published in March 2025, aims to clearly identify the trajectory of AI research in a structured way. The report was led by outgoing AAAI President Francesca Rossi and covers 17 different AI topics . Members of the report team, and other selected AI practitioners, are taking part in a series of video panel discussions covering selected chapters from the report. In the next discussion in the collection, the panellists discuss AI evaluation. The four dimensions of evaluation the report says we're missing: capability, usability, human-system performance, and legal/ethical compliance Lucy Smith is Senior Managing Editor for AIhub.

The 2026 IEEE International Conference on Robotics & Automation (ICRA) was held in Vienna from the 1 - 5 June. The event brought together researchers and industry professionals with expertise spanning many different aspects of robotics. IEEE have made the keynote and plenary talk recordings available to watch . You can also catch the panel discussions and keynote tutorials. Panel 4 - Publish or Perish: Surviving the Paper Deluge - Is AI the solution?

Interview with Yash Saxena: how is external knowledge used in AI systems? In a new series of interviews, we're meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026) . In this first article of the series, we caught up with Yash Saxena to find out how he is trying to make it easier to understand how external knowledge is used in AI systems. Tell us a bit about your PhD - where are you studying, and what is the topic of your research? I am a PhD student in Computer Science at the University of Maryland, Baltimore County (UMBC), advised by Dr. Manas Gaur in the Knowledge Infused AI and Inference (KAI2) Lab.