Qwen-VLA: A Generalist Vision–Language–Action Robot Model

from Embodied AI 101 · host Shaoqing Tan

A single generalist VLA built on Qwen3.5-4B + 1.15B DiT flow-matching action decoder that unifies manipulation, navigation, and trajectory prediction across 11 embodiments via text-described embodiment prompts. Trained in four stages and outperforms task-specific specialists on real ALOHA and sim benchmarks without per-task fine-tuning.

Episode metadata supplied by the publisher feed · Published May 29, 2026

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Qwen-VLA: A Generalist Vision–Language–Action Robot Model

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