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20222026
most citedWhat Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery

4 citations · 7 across the 5 of their papers we have counts for

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cs.RO2026

Co-Evolving Robot Orchestrators and Policies through Deployment

Xilun Zhang, Maggie Wang, Erik Bauer +4

Vision-language-action (VLA) policies trained on large datasets are capable within their training domains, yet they still fail to generalize to the variety of situations a robot me…

cs.RO2026

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Jacky Kwok, Xilun Zhang, Mengdi Xu +4

The long-standing vision of general-purpose robots hinges on their ability to understand and act upon natural language instructions. Vision-Language-Action (VLA) models have made r…