TREAD augments robotics datasets via VLM-based sub-task generation, video segmentation, and linguistic diversity to improve policy generalization on novel tasks in LIBERO benchmarks.
Scaling Robot Learning with Semantically Imag- ined Experience
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Task Robustness via Re-Labelling Vision-Action Robot Data
TREAD augments robotics datasets via VLM-based sub-task generation, video segmentation, and linguistic diversity to improve policy generalization on novel tasks in LIBERO benchmarks.