Author

Q. Shi

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Preprint Aug 2026

OrthoSkillVLA: Continual Skill Learning via Gradient-Informed Skill Subspace Adaptation

This work proposes OrthoSkillVLA, a parameter-efficient framework for continual skill learning in pretrained VLA models without demonstration replay, and introduces a lightweight feature-aware MoE decoder that better preserves prior skills while acquiring new ones.

Jia-Qi Wang, Zhou Fang, Q. Shi et al. · 0 citations