Ingmar Posner

Applied Machine Learner, Roboticist, Professor at University of Oxford.

[Ingmar Posner @IngmarPosner]

🔗 https://t.co/3bZ8V10Hm9

[Ingmar Posner @IngmarPosner]

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

[Ingmar Posner @IngmarPosner]

@ahmedkar_ Thanks! And I agree. Pixel-level prediction has been incredibly useful, but it’s often a poor proxy for relevance. What we’re really after is structure that reflects influence on behaviour, not fidelity of reconstruction.

[Ingmar Posner @IngmarPosner]

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.
https://t.co/TNzBoJ1URM

[Anson Lei @AnsonISL]

Very excited to share our new work - SPARTAN: A Sparse Transformer Learning Local Causation.

We develop a Transformer world model that learns local causal dependencies between entities, leading to improved adaptation efficiency and robustness with accurate prediction.

🧵

[Ingmar Posner @IngmarPosner]

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.
https://t.co/eGQZYIUB55

[Ingmar Posner @IngmarPosner]

Our contributions at #CoRL2025 👇

Main Conference:
- D-Cubed: https://t.co/B6IhtLwVT6
- COMBO-Grasp: https://t.co/m1VZzSfARR

GenPrior workshop:
- Guaranteed SE(3) Equivariant Control: https://t.co/KkGZVVMY8z

[Ingmar Posner @IngmarPosner]

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!

[Ingmar Posner @IngmarPosner]

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

[Ingmar Posner @IngmarPosner]

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: https://t.co/eVdA2lHVjX

@oxfordrobots @oxengsci #RobotLearning #GenerativeAI #Robotics

[Ingmar Posner @IngmarPosner]

🎓 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...🚀

[Maurice Fallon @MauriceFallon]

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!

[Ingmar Posner @IngmarPosner]

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!

[Branton DeMoss @BrantonDeMoss]

I’m pleased to announce our work which studies complexity phase transitions in neural networks! We track the Kolmogorov complexity of networks as they “grok”, and find a characteristic rise and fall of complexity, corresponding to memorization followed by generalization.

🧵

[Ingmar Posner @IngmarPosner]

2️⃣ RAINZ CDT (w/ @UKAEAofficial): Robot manipulation for net-zero energy systems (assembly/disassembly focus).
🗓 Deadline: 31 Jan 2025
👉 https://t.co/Ms8c7Rmx35

[Ingmar Posner @IngmarPosner]

🚀 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

[Ingmar Posner @IngmarPosner]

1️⃣ AIMS CDT (@Amazon-supported, w/ @j_foerst): Foundational work on learning & curating versatile world models.
🗓 Deadline: 29 Jan 2025
👉 https://t.co/PdCNB4Od29

[Ingmar Posner @IngmarPosner]

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

[Anson Lei @AnsonISL]

Very excited to share our new work - SPARTAN: A Sparse Transformer Learning Local Causation.

We develop a Transformer world model that learns local causal dependencies between entities, leading to improved adaptation efficiency and robustness with accurate prediction.

🧵

[Ingmar Posner @IngmarPosner]

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

[Ingmar Posner @IngmarPosner]

🚀 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

[Oxford Applied AI Lab @a2i_oxford]

🚀 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...
https://t.co/uZMaON9LzE

#robotlearning #Robotics #GenerativeAI #MachineLearning #AI @oxfordrobots

[Ingmar Posner @IngmarPosner]

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 @a2i_oxford and collaborators in Yokohama with @Jack_T_Collins, @junjungoal and @jannikzuern…

[Oxford Applied AI Lab @a2i_oxford]

Delighted to be at #ICRA2024. Interested in effective sim-2-real transfer for world models (WeBT7-CC.6)? Or benchmarking for robot assembly (ThAT9-CC.3)? Or predicting lane graphs for autonomous driving (ThBT6-CC.2)? Come and see us to meet, discuss, or just hang-out...

[Ingmar Posner @IngmarPosner]

RIP Daniel Kahneman. And thank you for the inspiration… https://t.co/ylnV6JrtjC

[Ingmar Posner @IngmarPosner]

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 @junjungoal with @ShaohongZhong and @Jack_T_Collins @a2i_oxford

[Jun Yamada @junjungoal]

We introduce D-Cubed, a novel trajectory optimisation method using a latent diffusion model trained from a task-agnostic play dataset, including only representative hand motions, to solve dexterous deformable object manipulation tasks!
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