Alibaba's Qwen team releases Qwen-Robot Suite, a three-model foundation toolkit that tops EWM-Bench

Original post

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex#501inTech

A really massive release from Qwen. This is the Nvidia/GDM turf.

Qwen@Alibaba_Qwen

📣 Introducing the Qwen-Robot Suite — Qwen-RobotNav, Qwen-RobotManip, Qwen-RobotWorld, three foundation models, a full stack for embodied intelligence.

🧭 Qwen-RobotNav — the gateway to mobility. • Unifies 5 navigation tasks in one model: instruction following, point-goal, object-goal, target tracking, autonomous driving • Controllable observation protocol • Tool interface for agentic systems

🤖 Qwen-RobotManip — the foundation of interaction. • Unified state-action space across heterogeneous robots • Camera-frame delta poses for coherent cross-embodiment training • Pretrained on a 38,100+ hour open-source corpus

🌍 Qwen-RobotWorld — infinite worlds for physical agents. • Single world model, 20+ embodiments • Natural-language action interface • Predicts physically grounded futures across manipulation, driving, and navigation

Each model is independently useful, and could be composed as physical-world tools.Together, they form the low-level toolkit for general-purpose agentic systems that don't just see the world, but act in it.

📷 Blog: https://qwen.ai/blog?id=qwen-robotsuite 📖 Report： Qwen-RobotNav: https://qianwen-res.oss-accelerate.aliyuncs.com/qwenrobot/papers/Qwen_RobotNav.pdf Qwen-RobotManip: https://qianwen-res.oss-accelerate.aliyuncs.com/qwenrobot/papers/Qwen_RobotManip.pdf Qwen-RobotWorld： https://qianwen-res.oss-accelerate.aliyuncs.com/qwenrobot/papers/Qwen_RobotWorld.pdf

7:07 AM · Jun 16, 2026 · 6.3K Views

Developer Impact

Models draw from extensive open data for cross-robot use

RobotNav and RobotManip were trained on tens of millions of samples plus over 38,000 hours of mixed robot, human, and synthetic video, supporting zero-shot tests on hardware like the Unitree Go2 and ranking first on multiple manipulation benchmarks.

Open Question

Enterprise pilots begin while public rollout stays unclear

The models are already in limited real-world testing with select Alibaba Cloud robotics customers, yet no details have surfaced on model weights, API access, licensing, or any broader release timeline.

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Alexander Doria@Dorialexander

Weirdly enough, they don't seem to be aware that LLMs are outdated for Physical AI. Bizarre.

Qwen@Alibaba_Qwen

📣 Introducing the Qwen-Robot Suite — Qwen-RobotNav, Qwen-RobotManip, Qwen-RobotWorld, three foundation models, a full stack for embodied intelligence.

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Andreas Köpf@neurosp1ke

@Dorialexander Probably I didn’t get the joke .. but the Qwen VL series is also the foundation of NVIDIA Cosmos 3 and reasoning/planning, text-conditioning is obviously very useful for embodied AI.

19m823

kache@yacineMTB

@teortaxesTex I can't stand the vla meme

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTex

A really massive release from Qwen. This is the Nvidia/GDM turf.

1h57350