Overview
MolmoAct is a groundbreaking robotics model that combines structured reasoning with physical actions, interpreting high-level natural language instructions and enabling robots to understand, plan, and act in a spatially grounded manner. Designed as an Action Reasoning Model, it enhances the interaction between people and robots by making robotic actions transparent and efficient.
Detailed specifications
Compute1
- Onboard Compute
- 256 NVIDIA H100 GPUs
Other8
- Applications
- research
- Company Country
- US
- Controller Model
- MolmoAct 7B
- Deployment Notes
- Tested in diverse real-world environments like kitchens and bedrooms.
- Industries Served
- AI,robotics
- Availability Status
- available
- Additional Information
- - Features 7 billion parameters and trained on 12,000 robot episodes - Grounded actions through Chain of Thought reasoning - Efficient training with fewer data compared to competitors like Nvidia and Google - Aimed at developing adaptive general robotic intelligence for unstructured environments like homes - Future applications may include search and rescue, and even space exploration missions
- Deployment Environment
- indoor
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