Transfer Learning

Applying knowledge gained from one task or domain to improve performance on a different but related task. In robot learning, transfer learning includes: pre-trained visual encoders (ImageNet → robot vision), sim-to-real transfer, cross-embodiment transfer, and fine-tuning VLAs on specific robot tasks. Transfer learning is essential because robot-specific data is scarce.