一口气发了三个模型，从操作到导航都管了，全用自家Qwen3.5和Qwen3-VL，做机器人研究的可以看看。
Qwen团队推出Qwen-RobotSuite，包含三个具身AI模型。RobotManip是基于Qwen3.5-4B的视觉-语言-动作模型，用于操作任务。RobotWorld是一个60层MMDiT架构的语言条件视频世界模型。RobotNav是基于Qwen3-VL的导航模型，提供2B、4B和8B三种参数量。
Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation
We break down Qwen-RobotSuite, the Qwen team's three new embodied AI models. We cover RobotManip, a Vision-Language-Action model built on Qwen3.5-4B for manipulation. We cover RobotWorld, a language-conditioned video world model with a 60-layer MMDiT. We cover RobotNav, a navigation model built on Qwen3-VL across 2B, 4B, and 8B sizes. We walk through the architecture, data pipelines, and benchmark results for each. The post Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation appeared first on MarkTechPost .