Does Adversarial Training Improve Generalization in Multi-View VLAs? Revealing and Mitigating View Collapse
cs.AI, cs.RO
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/sylvestf/LIBERO-plus
Terminology
Sources
- PaliGemma: A versatile 3B VLM for transfer
- ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
- AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention
- Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models
- ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
- Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
- LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
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