Today we're coming out of stealth with the largest robot training dataset ever built. The data needed to scale general robotics doesn't exist on the internet - it has to come from the real world: a global sampling of physics captured across every environment on earth.
Find Open Datasets for AI and Research | Kaggle
Browse and download hundreds of thousands of open datasets for AI research, model training, and analysis. Join a community of millions of researchers, developers, and builders to share and collaborate on Kaggle.
Zhijing Jin on Twitter / X
🚀 Can #AI agents actually do science?Current agents can optimize for predictive fit — but fail at recovering the underlying physical laws.We introduce Stargazer🪐: a scalable benchmark + environment for astronomical discovery🔭Agents must:• propose hypotheses•… pic.twitter.com/hGIjz4KJMT— Zhijing Jin (@ZhijingJin) May 7, 2026
MolmoAct 2: An open foundation for robots that work in the real world | Ai2
MolmoAct 2 is a fully open robotics foundation model that brings faster, stronger 3D action reasoning to real-world robot tasks, alongside a major new bimanual manipulation dataset for researchers to study, reproduce, and build on.
The AI Scaling Problem
RoboScape: Physics-informed Embodied World Model
World models have become indispensable tools for embodied intelligence, serving as powerful simulators capable of generating realistic robotic videos while addressing critical data scarcity challenges. However, current embodied world models exhibit limited physical awareness, particularly in modeling 3D geometry and motion dynamics, resulting in unrealistic video generation for contact-rich robotic scenarios. In this paper, we present RoboScape, a unified physics-informed world model that jointly learns RGB video generation and physics knowledge within an integrated framework. We introduce two key physics-informed joint training tasks: temporal depth prediction that enhances 3D geometric consistency in video rendering, and keypoint dynamics learning that implicitly encodes physical properties (e.g., object shape and material characteristics) while improving complex motion modeling. Extensive experiments demonstrate that RoboScape generates videos with superior visual fidelity and physical plausibility across diverse robotic scenarios. We further validate its practical utility through downstream applications including robotic policy training with generated data and policy evaluation. Our work provides new insights for building efficient physics-informed world models to advance embodied intelligence research. The code is available at: https://github.com/tsinghua-fib-lab/RoboScape.
APRIL Laboratory APRIL Papers : Autonomy * Perception * Robotics * Interfaces * Learning
Robot startups are trying everything they can think of to get more data
Free apartment cleanings, exoskeletons, 100 robots in a warehouse...
MiniMaxAI/OctoCodingBench · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
PaddlePaddle/PaddleOCR-VL · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Inside China’s robotics revolution
The long read: How close are we to the sci-fi vision of autonomous humanoid robots? I visited 11 companies in five Chinese cities to find out
Kosmos: An AI Scientist for Autonomous Discovery
Today, we are announcing Kosmos, our next-generation AI Scientist. Kosmos is a major upgrade on Robin, our previous AI Scientist. You can read about it in our technical report, here. Kosmos is available to use from day one on our platform, here.
zeroclaw-labs/zeroclaw
Fast, small, and fully autonomous AI assistant infrastructure — deploy anywhere, swap anything 🦀
moonshotai/Kimi-K3 at 2496450e92e425c886db095102a52a6682ca3970
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
The First Fully General Computer Action Model
We trained a model on our 11-million-hour video dataset. Our model can explore complex websites, complete multi-action CAD modeling sequences, and drive a car in the real world, all at 30 FPS.
