Applied Machine Learner, Roboticist, Professor at University of Oxford.
Joined February 2017
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Really enjoyed talking robotics and where AI goes next with the @BBC AI Decoded team.
A wide ranging discussion from the World Humanoid Robot Games to world models, robot manipulation, uncertainty, data, deployment, and quite a bit in between.
And still so much more to say.
Introducing: Mechanistic World Models.
Scientific discovery is not just prediction. It requires uncovering the mechanisms generating what we observe. A capability current ML lacks.
With @AnsonISL and @bschoelkopf.
@a2i_oxford, @oxengsci and @MPI_IS.
arxiv.org/abs/2607.12474
Delighted to be back at the @royalsociety #SummerScience Exhibition with a team of humans and robots, showcasing research from our @EPSRC Programme Grant on Embodied Intelligence and across the wider @OxfordRobotics Institute.
If you're in London this week, come and say hello!
Are world models the missing piece for truly dexterous tactile robots? 🤖
Great to join the @ARIA_research programme meeting on robot dexterity to discuss how predictive models perform in contact-rich settings.
#WorldModels #Robotics #ARIA @a2i_oxford @oxfordrobots
A recurring theme in our recent work (e.g. SPARTAN): predictive world models become more interpretable when they help identify which parts of the input stream actually influence behaviour.
Learning what matters, not just what happens, is central.
arxiv.org/pdf/2411.06890
On my way to the 7th UK Manipulation W/s - a great way to start 2026! Over the years it’s become a premier UK meeting place for exchanging ideas across planning, control, and learning in robot manipulation.
If you’re attending, do come say hello.
robot-manipulation.uk
Always look forward to CoRL - for the people, papers & workshops. Sadly have to miss it this year.
Delighted that @junjungoal & Alex Mitchell are there representing A2I - and @JankowskiJulius is presenting new work from our Amazon team! 🎉
See you next year!
Our contributions at #CoRL2025 👇
Main Conference:
- D-Cubed: openreview.net/forum?id=5htQ…
- COMBO-Grasp: openreview.net/forum?id=xpEj…
GenPrior workshop:
- Guaranteed SE(3) Equivariant Control: corl25-genpriors.github.io/P…
NVIDIA’s £2bn pledge to UK AI startups is recognition that we don’t just use AI: we invent it, shape it & apply it.
As @UniofOxford researcher & co-founder of a successful AI startup, I was proud to be in the room. #AI #UKTech
Had a great time sharing @a2i_oxford’s work on generative AI for robot & world models at the @royalsociety #SummerScience Exhibition 2025. Great energy, excellent questions!
🎥 Watch here: royalsociety.org/science-eve…
@oxfordrobots @oxengsci #RobotLearning #GenerativeAI #Robotics
🎓 Multiple faculty positions @oxengsci ! 🎓
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...🚀
Multiple faculty positions at University of Oxford in @oxengsci - Join Us!
Robotics - Computer Vision - Machine Learning
Faculty positions in Oxford are typically linked to a college.
Please repost!
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!
🚀 Funded PhD Studentship Alert! 🚀
Join @a2i_oxford in our mission to advance World Models for robotics and beyond. Two opportunities starting Oct 2025. Deadlines in January 2025. Details in 🧵… @oxfordrobots
🤖 #Robotics #ArtificialInteligence #MachineLearning
1️⃣ AIMS CDT (@Amazon-supported, w/ @j_foerst): Foundational work on learning & curating versatile world models.
🗓 Deadline: 29 Jan 2025
👉 aims.robots.ox.ac.uk/study/i…
2️⃣ RAINZ CDT (w/ @UKAEAofficial): Robot manipulation for net-zero energy systems (assembly/disassembly focus).
🗓 Deadline: 31 Jan 2025
👉 rainz-cdt.ac.uk
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
🚀 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
🚀 We’re hiring a Postdoc in Multimodal World Modelling for robot skill acquisition! 🌟 Do you have a passion for deploying AI on real-world robots? Then this one may be for you...
my.corehr.com/pls/uoxrecruit…
#robotlearning #Robotics #GenerativeAI #MachineLearning #AI @oxfordrobots