🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Job advert: A PhD in my lab at the University of Oxford would be *brilliant* training for a future in ML research or software engineering -- even if I do say so myself. 😉 9 Dec deadline for a fully-funded EPSRC studentship (home fees plus stipend). eng.ox.ac.uk/study/research…

Timely, timeless - and a riveting read! Thank you Rutger Bregman… #survivalofthefriendliest en.wikipedia.org/wiki/Humankind…

What a trajectory! And against an unprecedentedly challenging economic backdrop. A real testament to the tech - and the team. Well done Oxbots!

Our next offering in planning for manipulation using optimisation in structured latent spaces: fast, reactive planning behaviour in the real world. After best poster at the 4th UK Manipulation Workshop, come and see us IEEE ICRA 2023! Oxford Applied AI Lab Oxford Robotics Institute

Offsite assembly is important but challenging to automate. Let’s see what we can do …

Inspired work introducing policy-guided #diffusion by Marc Rigter & Jun Yamada . The prospect of efficiently imagining entire on-policy trajectories in one go is tantalising. Looking forward to exploring where this can take us... Oxford Applied AI Lab Oxford Robotics Institute Engineering Science, Oxford

Interested in efficient model-based RL in the real world using visual observations? Then here is one more worth checking out this year: World-Model Distillation, lead by Jun Yamada (together with Marc Rigter and Jack Collins) ... Oxford Applied AI Lab #RobotLearning #Robotics

My group in Engineering Science, Oxford, Oxford Robotics Institute is looking for talented research students passionate about robot learning. Interested in doing a PhD researching efficient and versatile world models for robotics and beyond? This one may be for you…

Trajectory optimisation in high dimensional spaces is notoriously hard. What if you could leverage basic experience of what the system can do and let a diffusion model and vanilla sim guide you? Stunning work led by Jun Yamada with Shaohong Zhong and Jack Collins Oxford Applied AI Lab

RIP Daniel Kahneman. And thank you for the inspiration… behavioralpolicy.princeton.edu/news/DanielKah…

On my way to #ICRA2024. Looking forward to Japan! Looking forward to seeing old friends and making new ones! And looking forward to presenting some of the work from Oxford Applied AI Lab and collaborators in Yokohama with Jack Collins, Jun Yamada and Jannik Zürn…

🚀 Join us to push the boundaries of AI and robotics, working on cutting-edge research in real-world robot learning. You'll focus on developing multimodal world models with impactful applications in collaborative manufacturing and social care.🤖 #robotlearning #GenerativeAI

Excited for #CoRL2024! Can’t wait to connect, learn, and share our latest on learned latent representations for quadruped locomotion. Let’s chat about structured world models, representations, and all the other groundbreaking work coming up! 🚀 #robotics

How can a transformer uncover local causal dependencies in dynamic systems, from simulations to real-world data? 🤔 The answer: Hard attention + sparsity. But with a twist. Meet SPARTAN: More causal. More efficient. Just as accurate. #Robotics #ML #AI #CausalAI

Amongst my favourite research directions this year: understanding model complexity and its link to generalization and intelligence. Progress here could mean leaner models, versatile representations, and less reliance on data/energy. Excited that we’re off to the races on this!

🎓 Multiple faculty positions Engineering Science, Oxford ! 🎓 We welcome applications from outstanding candidates in robotics, and especially if you are working in areas such as human-robot interaction, mechanical design, novel robotic sensor design and/or field robotics. Closing soon...🚀