FabriVLA: A Lightweight Vision-Language-Action Model for Precise Multi-Task Manipulation

• URL: http://arxiv.org/abs/2607.08575v2
• Date: Fri, 10 Jul 2026 02:28:31 GMT
• Title: FabriVLA: A Lightweight Vision-Language-Action Model for Precise Multi-Task Manipulation
• Abstract summary: We present FabriVLA, a lightweight Vision-Language-Action model for Precise Multi-Task Manipulation.<n>On the Meta-World MT50 benchmark spanning 50 diverse manipulation tasks, FabriVLA achieves a tier-average success rate of 90.0%.
• Score: 5.328444469283032
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: We present FabriVLA, a lightweight Vision-Language-Action model for Precise Multi-Task Manipulation. FabriVLA combines an InternVL3.5 vision-language backbone with a flow-matching action head featuring gated self-attention across action tokens and shallow VLM layer fusion for enriched spatial context. The model is trained via single stage joint optimization from a pretrained VLM and randomly initialized action head. On the Meta-World MT50 benchmark spanning 50 diverse manipulation tasks, FabriVLA achieves a tier-average success rate of 90.0%, demonstrating that a compact VLA built on a 1B scale VLM can achieve strong performance without relying on multi billion parameter VLA backbones.

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