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| title: README |
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| # Adaptive Machine Patterns |
| Adaptive Machine Patterns builds small, understandable embodied-AI models, and the tools to look |
| inside them. Check out these: |
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| - **[AMP Tadpole](https://huggingface.co/Adaptive-Machine-Patterns/amp-tadpole)**: a 6.5M-parameter |
| vision-language-action model that drives a robot arm from three camera |
| images and a plain-English instruction. It runs on a laptop CPU. |
| - **[AMP Toy Robotics Benchmark](https://github.com/Adaptive-Machine-Patterns/amp-toy-robotics)**: |
| a light, seed-generated benchmark for small VLA policies. It needs only numpy and Pillow, its training data is unlimited |
| and reproducible, and its grounding tests check that a policy really uses |
| its cameras and its words. Open source (Apache-2.0). |
| - **[AMP Embodied AI Workbench, Demo](https://huggingface.co/spaces/Adaptive-Machine-Patterns/amp-embodied-ai-workbench-demo)**: drive the arm with |
| words (or your voice), then fly through AMP Tadpole as it thinks, all in |
| your browser. A Pro edition, with live tracing of larger models and of |
| your own, is in development: contact us to hear first. |
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| [adaptive-machine-patterns.com](https://adaptive-machine-patterns.com) · |
| amp@adaptive-machine-patterns.com |
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| Adaptive Machine Patterns Ltd, registered in England & Wales, no. 15618869. |
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