KE:SAI is hiring! You are super excited about world models and autonomy? Come and join our team! Let's have impact together! kesai.eu/join/
KE:SAI - Kyutai ELLIS Scalable Autonomous Intelligence
@kesai.eu
Robot learning is bottlenecked by the cost of physical interaction. Our mission is to advance the efficiency frontier of robust & safe physical AI through fully open and reproducible research. https://kesai.eu
It's getting real! We have been working on self-driving for more than 15 years, and most of that work has happened in simulation. Today that changes: our research vehicle arrived, and we can start testing our ideas in the physical world. kesai.eu/blog/2026-07...
In this talk from the GenAV Workshop at ICRA 2026, our CTO Kashyap Chitta highlights how open tools, shared benchmarks, and collaborative research can help accelerate progress in autonomous driving. Watch here: www.youtube.com/watch?v=_CYp...
Keshyap Chitta - KE:SAI - Workshop on Generalization in Autonomous Driving at ICRA 2026
What does it take to make autonomous driving research more open, accessible, and scalable? In this talk from the 1st GenAV Workshop at ICRA 2026, Kashyap Chitta explores Democratizing Autonomous…
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The AlpaSim E2E Closed Loop Challenge 2026 is open for registration and leaderboard access in a soft-open period. Build AV policies for realistic closed-loop simulation, where each policy's own decisions shape future scenes, observations, and interactions.
🔥 ICML 2026 paper alert! Introducing PointDiT, a radically simple diffusion transformer for 3D geometry generation that bypasses the VAE bottleneck completely. We asked: Can we make 3D reconstruction beautifully simple? Turns out: Yes! 📄 Paper + Demo: haofeixu.github.io/pointdit/
Our team placed 3rd in the KITScenes LongTail Challenge at the CVPR 2026 Workshop on Autonomous Driving! We used zero-shot evaluation with the NVIDIA Alpamayo 1.5 vision-language-action model, with zero fine-tuning or task-specific training.
Our CTO Kashyap gave a very nice talk at ICRA 2026 on "World Models: The Next Frontier of Motion Prediction". The talk sketches the history and also lays out what we plan to do at KE:SAI. Watch here: www.youtube.com/watch?v=sxlh...
Kashyap Chitta: World Models: The Next Frontier of Motion Prediction
Talk given on the 8th Workshop on Long-term Human Motion Prediction (LHMP) at ICRA 2026. Link to the Workshop website: https://motionpredictionicra2026.github.io Talk Abstract: Predicting how the…
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World Engine is a RL post-training simulator for end-to-end driving. In collaboration with industry (and industry-scale data), we present an end-to-end policy post-trained within World Engine that achieves 200 km real driving without intervention. github.com/OpenDriveLab...
The unreasonable effectiveness of state-of-the-art imitation learning models in the CARLA simulator is largely explained by a hidden shortcut: the target point bias. Read more in our new blog. Link in the comments.
KE:SAI has been (briefly) featured in ZDF Länderspiegel! Watch here (starting at 17:00, in German): www.zdf.de/video/magazi...
Bill Gurley made a fantastic post on the case for open-science labs like KE:SAI. A strongly encouraged read on open source in general and for autonomous vehicles in particular! p3institute.substack.com/p/from-open-...
From Open Source Software to Open Source Strategy
How the Smartest Executives Are Using Open Source Techniques to Optimize Corporate Strategy
p3institute.substack.com
Today @kyutai-labs.bsky.social and @ellisinsttue.bsky.social launch @kesai.eu! Robot learning is bottlenecked by the cost of physical interaction. Our mission is to advance the efficiency frontier of robust & safe physical AI through fully open and reproducible research. kesai.eu/blog/2026-05...
Kyutai and ELLIS Tübingen launch KE:SAI: A Premier Franco-German Partnership for Open Science in Physical AI
Kyutai and ELLIS Tübingen announce the official launch of KE:SAI – Kyutai ELLIS Scalable Autonomous Intelligence, a non-profit open science lab for physical AI.
kesai.eu