RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation
RA-VLA is a retrieval-augmented VLA system designed for training-free adaptation to new tasks. It slices expert demonstrations into segments, uses a lightweight transformer to retrieve relevant context from these segments, and generates actions based on the current observation and retrieved context. This method improves task success rates significantly while maintaining fast inference speeds.