Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
Sequential calibration framework for vision-language-action robotics models quantifies uncertainty across partial trajectory observations.
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
VLA Foundry open-source framework unifies LLM, VLM, and VLA training with end-to-end control from pretraining to action fine-tuning.
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AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning
AEGIS method preserves vision-language knowledge during robotic control fine-tuning via gradient isolation.
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