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MolmoAct 2 is an open robotics foundation model (a pre-trained AI system that robots use to understand and act in the physical world) built by the Allen Institute for AI. You can use it to power robots that handle real-world tasks like folding towels, loading dishwashers, or prepping lab samples — without needing to retrain the model for each new task. It runs significantly faster than its predecessor and outperforms several closed proprietary robotics models on industry benchmarks.
MolmoAct 2 uses a specialized embodied-reasoning AI backbone (Molmo 2-ER) trained on a large set of examples to help robots reason about 3D space, detect objects, and plan physical actions in near-real time.
MolmoAct 2 is built for robotics researchers and AI engineers, not small business owners. If you run a warehouse, lab, or manufacturing operation and have a dedicated robotics team, this open model gives you a powerful, free starting point. But if you don't already have robotics hardware and machine learning engineers on staff, you won't be able to use this tool — it's not a plug-and-play product. Wait for commercial products built on top of models like this before considering it for your business.