# Vision-Language-Action Model

A vision-language-action model trained on the Open X Embodied Dataset, generating robot motions from language instructions and camera images

π0+FAST is an efficient action tokenization scheme designed for robotics by Physical Intelligence, suitable for vision-language-action tasks.

A vision-language-action model specifically designed for Minecraft, capable of executing thousands of in-game skills based on human language commands

SpatialVLA is a vision-language-action model fine-tuned on the fractal dataset, primarily used for robot control tasks.

This model is a vision-language-action model fine-tuned on the bridge dataset based on the SpatialVLA model, specifically designed for the Simpler-env benchmark.

CogACT is a novel advanced Vision-Language-Action (VLA) architecture derived from Vision-Language Models (VLM), specifically designed for robot manipulation.

CogACT is a novel advanced Vision-Language-Action (VLA) architecture derived from Vision-Language Models (VLM), specifically designed for robot manipulation.

CogACT is a novel Vision-Language-Action (VLA) architecture that combines vision-language models with specialized action modules for robotic manipulation tasks.