AI RESEARCH
StarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems
arXiv CS.AI
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ArXi:2604.11757v1 Announce Type: cross Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for building general-purpose robotic agents. However, the VLA landscape remains highly fragmented and complex: as existing approaches vary substantially in architectures