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[Ai2 @allen_ai]

We’re introducing ToyBlocks, an open simulated tabletop for controlled experiments in robot learning.

It enables robotics researchers to experimentally control training data & models, run targeted evals, & trace failures to their causes. 🧵

https://t.co/A9g1uhle0W

[Ai2 @allen_ai]

NVIDIA used our MolmoSpaces benchmark to evaluate GR00T 2, alongside RoboCasa365, RoboLab, & RoboDojo. Thanks @NVIDIARobotics!

MolmoSpaces is open, so any team can test their robot policies on the same simulated homes, objects, & tasks:
https://t.co/6vcMdblZlO

[NVIDIA Robotics @NVIDIARobotics]

A finer touch for humanoid robots. 🤖

At #CoRL2026, NVIDIA is introducing GR00T 2, an open world action model for humanoids, alongside new open industrial benchmarks from @RLWRLD_ai and @UCBerkeley built on Isaac Lab-Arena.

Explore how NVIDIA’s open world action models, scalable simulation tools and agentic workflows help researchers train, test and refine robot skills, from connecting cables to assembling small components.

Discover more ➡️ https://t.co/spzxPurj6y

[Joseph Chee Chang @josephcc]

Ai2 / AI for Science is hiring Summer 2027 research interns! Topics:

- Tools for ideation and hypotheses development
- Long-horizon human-AI interaction
- Generative user interfaces

We encourage publishing and public deployments. Apply below by Dec10 for first review cycle 👇

[Haibo Zhao @ZhaoHaibo47588]

World models are becoming simulators for evaluating and training robot policies. But how do we compare them?

They output latents, video or simulator states, and image quality says little about task success. In ToyBlocks we compare what matters: interactions and outcomes.

Introducing “Task-Relevant Fidelity in Robotic World Models,” our work on ToyBlocks, to be presented at the LEAP and TAG/G2A workshops at #CoRL2026.🧵

[Sangho Suh @sangho_suh]

We're hiring interns! :)

Please apply by November 15 (this Sunday) to be considered in the first round of reviews.

You can find more details about our research focus areas and how to apply on the application page!

[Ai2 @allen_ai]

@hakimieiqbal Fixed-term 1-3 years.

[Ai2 @allen_ai]

We’re hiring across Ai2 👋

We’re growing our AI for science work:

• Research Scientist, Asta
https://t.co/MSQMt2VnKJ
• Young Investigator, Open Language Models for Biology
https://t.co/bsIGjtcmKh 🧵

[Ai2 @allen_ai]

Explore the roles & apply—or share with someone who might be a good fit.

→ See all openings: https://t.co/2AeHbAbuHP

[Ai2 @allen_ai]

& we’re accepting intern applications in:

• AI for Science
https://t.co/PG7d7EatJb
• Open Ecosystem
https://t.co/uiQ7IR9ObS
• Robotics
https://t.co/kpmAFEOPaU

[Yi Ru (Helen) Wang ✈️CoRL2026 @YiruHelenWang]

What could we learn about robot foundation models if we could systematically generate data at scale, with precise control over what varies?

Excited to see ToyBlocks launch as a principled step toward answering these questions, and to see what new research directions it unlocks!

[Ai2 @allen_ai]

We're at #CoRL2026 with papers & talks across the conference. Come say hello and learn about our latest research! 🤖

[Jason Ren @RenZhongzheng]

ToyBlocks is out! Huge congrats to the Ai2 Robotics team! Having watched this effort take shape at Ai2, I’ve seen firsthand how ambitious and challenging it has been—and the insight, hard work, perseverance, resilience, and resources it has taken to bring it to life. Even as an outside observer, I’ve learned so much from the team. I have enormous respect for what you’ve accomplished and am truly happy for you all. I hope this work proves valuable to the entire robotics community!

[Jason Lee @ CoRL 2026 ✈️ @jason_lee328]

Sharing what I spent the last year working on before starting my PhD. Glad it’s finally released! 🧱🤖

Robot foundation models have made huge progress with scale, but it’s getting harder to tell which choices actually drive the gains. I strongly believe many design choices are still understudied: data mixtures, input modalities, architectures, training recipes, and now how agentic frontier models should plan and act through robot skills.

Answering that takes systematic ablations, which need a system where you can 1. design tasks 2. generate data in a controllable way, and 3. train and evaluate models end to end.

That’s what ToyBlocks is built for. Excited to see what the community learns with it!

[Stone Tao @ CoRL 2026 @Stone_Tao]

This was one of the last projects I contributed to in my PhD and it’s awesome to see it finally released!

With scale we need better tools to make more fine-grained analysis of our models and algorithms. Complex-looking tasks may be cool and high-value, but are not always the highest signal for research and iteration.

Simulation of an “easy to simulate” but “difficult to master” domain of tasks lets us get more scale with minimal sim-to-real gaps, while letting you test on a incredibly diverse set of problems. From non-prehensile movements / dexterity, to higher-level reasoning.

Stay tuned to what AI2 is working on to advance open-source robotics!

[Naman Shah ✈️ CoRL 2026 @shah__naman]

Excited to finally share ToyBlocks! 🧱

A fully open simulated setting where you control the data, the models and the evals, so when a robot policy fails you can actually trace why.

Assets, data generators, 85K demos, training + eval code, all open. Try it out!👇

[Yejin Kim ✈️ CoRL @YejinKim4]

ToyBlocks is out! 🚀

At Ai2, we’re always exploring how simulation can help scale data generation, benchmarking, and experimentation to push robotics research forward.

MolmoSpaces, MolmoBOT earlier this year, and now ToyBlocks! :)

[Ai2 @allen_ai]

We hope ToyBlocks is a step toward robots that can apply what they learn to unfamiliar tasks and environments.

We’re releasing simulation assets, task & demonstration generators, 2 trained models, training code, evaluation code, & validation sets.

📝 Blog: https://t.co/oSqvOlkejw

[Ai2 @allen_ai]

We’re introducing ToyBlocks, an open simulated tabletop for controlled experiments in robot learning.

It enables robotics researchers to experimentally control training data & models, run targeted evals, & trace failures to their causes. 🧵

https://t.co/A9g1uhle0W

[Ai2 @allen_ai]

We’re targeting a larger dataset, more skills, & broader benchmarks in a follow-up release, as well as integrated reinforcement learning training.

Longer-term research will include two-arm manipulation & hands with force & touch sensors.