This survey examines Vision-Language-Action Models (VLAs), a breakthrough multimodal approach enabling robots to perceive, understand, and act in physical environments.

• Converging Technologies: VLAs build on the foundation of large language models and vision-language models, extending capabilities to action generation
• Embodied Intelligence: Tackles the fundamental challenge of translating perception and language understanding into physical actions
• Cross-Domain Integration: Combines robotics, computer vision, and natural language processing to create more capable autonomous systems
• Practical Applications: Enables development of robots that can understand verbal instructions and interact naturally with their surroundings

This research represents a significant engineering advancement by creating a comprehensive framework for developing robots that can seamlessly integrate perception, language understanding, and physical action generation.

A Survey on Vision-Language-Action Models for Embodied AI