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Research questionHow can driving VLAs transfer zero-shot across unseen datasets and camera rigs as training diversity grows?Driving VLAs are often trained on individual datasets, so their behavior may not carry over to unseen datasets or camera rigs. Increasing dataset diversity also does not consistently improve performance, making transfer sensitive to the training embodiments represented.
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Latest papersRecent research connected to this question, newest first.Towards Zero-Shot Transfer Across Embodiments For Driving VLAsThe study examines multi-dataset driving VLA training and evaluates transfer to unseen datasets and camera rigs. It reports results with and without BEV-Forcing, an auxiliary objective that supplies bird’s-eye-view spatial information, and finds that its benefits diminish as the number of training embodiments increases.research paper · Sep 2, 2026
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