CLARE is an exemplar-free continual learning framework for VLAs that autonomously expands modular adapters based on feature similarity and uses autoencoder routing for label-free deployment.
Open X-embodiment: Robotic learning datasets and RT-X models,
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CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
CLARE is an exemplar-free continual learning framework for VLAs that autonomously expands modular adapters based on feature similarity and uses autoencoder routing for label-free deployment.