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Introducing MolmoSpaces, a large-scale, fully open platform + benchmark for embodied AI research. 🤖 230k+ indoor scenes, 130k+ object models, & 42M annotated robotic grasps—all in one ecosystem.

Ai2

86,169 subscribers

98,468 görüntüleme • 7 ay önce •via X (Twitter)

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kache profil fotoğrafı

kache7 ay önce

i have been using procthor to great effect. thank you for your service

Ai2 profil fotoğrafı

Ai27 ay önce

The next wave of AI will act in the physical world, but building robots that generalize across new environments – rather than replaying learned behaviors – requires far more diverse training data than exists today. That's where MolmoSpaces comes in.

Ai2 profil fotoğrafı

Ai27 ay önce

MolmoSpaces builds on two foundations: Objaverse, one of the largest open collections of 3D objects, and our THOR family of interactive simulation environments, all unified with physics-grounded simulation + validated physical parameters tuned for realistic manipulation. ⚙️

Ai2 profil fotoğrafı

Ai27 ay önce

MolmoSpaces ships with a massive bank of validated grasps for rigid and articulated objects, loadable directly into environments. An accompanying trajectory-generation pipeline supports reproducible demonstrations and imitation learning at scale.

Ai2 profil fotoğrafı

Ai27 ay önce

📐 MolmoSpaces-Bench is our new benchmark for evaluating generalist policies under systematic, controlled variation. Researchers can vary one factor at a time – from object properties to layouts, dynamics, and instruction phrasing – across thousands of realistic scenes.

Ai2 profil fotoğrafı

Ai27 ay önce

MolmoSpaces supports teleoperation via mobile platforms like Teledex—collect demonstrations right from your phone, compatible with all our embodiment setups, including DROID and CAP; no extra configuration is needed.

Ai2 profil fotoğrafı

Ai27 ay önce

All MolmoSpaces assets, scenes, & tools are open + modular, provided in MJCF with USD conversion for cross-simulator portability. Plug in new embodiments, regenerate grasps, & run across MuJoCo, ManiSkill, & NVIDIA Isaac Lab/Sim.

Ai2 profil fotoğrafı

Ai27 ay önce

Explore MolmoSpaces & start building: 📝 Blog: 💻 Demo: ⬇️ Code: 📊 Data: ✍️ Paper:

Shivaram Kumar profil fotoğrafı

Shivaram Kumar7 ay önce

This is awesome work! Curious—any plans to integrate SceneSmith-like agentic scene generation into MolmoSpaces? It feels like a natural combo: MolmoSpaces benchmark + SceneSmith prompt-to-sim scenes = infinite evaluation distribution.

株式会社WEEL(ウィール)｜生成AI導入・開発 profil fotoğrafı

株式会社WEEL(ウィール)｜生成AI導入・開発7 ay önce

凄いですね！めちゃくちゃロボット研究が進みそう！広めさせていただきました！

Tool Side Room profil fotoğrafı

Tool Side Room7 ay önce

MolmoSpaces just turned embodied AI into an absolute playground

Kevin H. Zhao profil fotoğrafı

Kevin H. Zhao7 ay önce

AHHHHHH

Everlier profil fotoğrafı

Everlier7 ay önce

I can imagine how this paired with some skinning can be an absolute goldmine for RL.

Eddie profil fotoğrafı

Eddie7 ay önce

free? sure, until they find a way to monetize your data. local means nothing when they own the code.

AI Integrity Alliance (AI²) profil fotoğrafı

AI Integrity Alliance (AI²)7 ay önce

This is cool research but we have the best ai2 domain!

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