AIhub

In the latest of our interviews with the Association for the Advancement of Artificial Intelligence (AAAI)/ACM SIGAI doctoral consortium participants, we met Zijian Zhao, who researches labor management in transportation gig systems through reinforcement learning https://lnkd.in/eutsHbYy

One of the key challenges in building robots for household or industrial settings is the need to master the control of high-degree-of-freedom systems such as mobile manipulators. In their work "SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL" (https://lnkd.in/emupadkB), Jiaheng Hu, Peter Stone and Roberto Martín-Martín introduce a method that renders real-world reinforcement learning feasible for complex embodiments. We caught up with Jiaheng to find out more. https://lnkd.in/eRQkG9zE

Starting at 13:00 (Singapore time) in Peridot 201. Join us if you can to find out how to communicate your work to a wider audience. https://lnkd.in/e-GWe3XY

Great to chat to Alessandra Rossi (RoboCup trustee) about forthcoming changes to the RoboCup Federation soccer leagues, changes which are being implemented to focus research and developments on humanoid machines https://lnkd.in/erRpyKDQ

In our latest blog post, Christopher Tatsch writes about work presented at IROS 2025 on designing and making robots to tackle hiking trails. Christopher and colleagues tackled the problem using  Semantic Segmentation and Geometric Analysis. https://lnkd.in/eJCE6CUq

In this blog post, Lucile Dierckx, Alexandre Dubray and Siegfried Nijssen write about work presented at IJCAI International Joint Conferences on Artificial Intelligence Organization 2025 on how we can efficiently train neural networks to be more consistent with background knowledge. https://lnkd.in/enqhdDpB

Each year, a small group of PhD students are chosen to participate in the Association for the Advancement of Artificial Intelligence (AAAI)/ SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. During 2025, we met with some of the students to find out more about their research and the doctoral consortium experience. Here, we collate the interviews. Thanks to the following researchers for taking part! Kunpeng Xu, Kayla Boggess, Tunazzina Islam, Lea Demelius, Joseph Marvin Imperial, Amina Mević, Onur Boyar, Ananya Joshi, Filippos Gouidis, Debalina Padariya, Amar Halilovic, Mahammed Kamruzzaman, Kate Candon, Aneesh Komanduri, Shirley Shajarian, Flávia Carvalhido, Haimin Hu, Benyamin Tabarsi, Yezi Liu, Zahra Ghorrati, Janice Zebaze https://lnkd.in/e6mP3piK

Over the course of the year, we’ve had the pleasure of working with many talented researchers from across the globe. As 2025 draws to a close, we take a look back at some of the excellent blog posts from our contributors. https://lnkd.in/ePza8rjQ

We're delighted to announce that you can now follow us on Substack! https://lnkd.in/e9KkTMqB

Great to chat with Alice Xiang about FHIBE: a new fair human-centric image dataset for ethical AI benchmarking from SonyAI. Find out more about this project in our interview ⬇️ https://lnkd.in/gRA_cTZ7