[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-qwen-vla-alibaba-s-unified-vision-language-action-model-brings-versatile-robot-control-to-a-new-level":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":97,"popular_news":152,"categories":224},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":78,"formatted_created_at":79,"category_id":42,"links":80,"view_type":85,"video_url":86,"views":87,"likes":88,"lang":89,"comments_count":88,"category":90},"Qwen-VLA: Alibaba’s Unified Vision-Language-Action Model Brings Versatile Robot Control to a New Level","Qwen-VLA joins other notable efforts like NVIDIA’s GR00T and Physical Intelligence’s π₀.5 in the race toward general-purpose robot intelligence.","Qwen-VLA pushes toward a true generalist policy — a single brain that can be deployed across many platforms with minimal adaptation.","Qwen-VLA joins other notable efforts like NVIDIA’s GR00T and Physical Intelligence’s π₀.5 in the race toward general-purpose robot intelligence","\u003Cp>The Qwen team at Alibaba has released \u003Cstrong>Qwen-VLA\u003C/strong>, a powerful new \u003Cstrong>Vision-Language-Action (VLA)\u003C/strong> model that can control a wide variety of robots — from single-arm manipulators to dual-arm systems and potentially humanoids — using a single unified model without task-specific or platform-specific retraining.\u003C/p>\n\n\u003Cp>Announced on May 29, 2026, \u003Ca href=\"https://qwen.ai/blog?id=qwenvla\">Qwen-VLA represents a significant step toward generalist embodied AI\u003C/a>, addressing one of the biggest challenges in robotics: fragmentation across different hardware platforms and task types.\u003C/p>\n\n\u003Ch4>\u003Cstrong>How Qwen-VLA Works\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>Like other VLA models, Qwen-VLA takes two inputs:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>A real-time image (or video frames) from the robot’s camera(s);\u003C/li>\n\t\u003Cli>A natural language command (e.g., “Pick up the red cup and place it on the shelf” or “Navigate to the kitchen table while avoiding obstacles”).\u003C/li>\n\u003C/ul>\n\n\u003Cp>It outputs continuous actions or trajectories tailored to the specific robot’s kinematics.\u003C/p>\n\n\u003Cp>\u003Cstrong>Technical Architecture:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Built on the \u003Cstrong>Qwen3.5-4B\u003C/strong> vision-language backbone;\u003C/li>\n\t\u003Cli>Augmented with a \u003Cstrong>1.15 billion parameter DiT (Diffusion Transformer)\u003C/strong> flow-matching action decoder;\u003C/li>\n\t\u003Cli>Uses \u003Cstrong>embodiment-aware prompt conditioning\u003C/strong> — simply describe the robot type and control interface in text, and the model adapts instantly.\u003C/li>\n\u003C/ul>\n\n\u003Cp>This design allows the same model to handle \u003Cstrong>three major categories of tasks\u003C/strong>:\u003C/p>\n\n\u003Col>\n\t\u003Cli>\u003Cstrong>Manipulation\u003C/strong> (grasping, moving objects, bimanual coordination);\u003C/li>\n\t\u003Cli>\u003Cstrong>Navigation\u003C/strong> (vision-language navigation in indoor environments);\u003C/li>\n\t\u003Cli>\u003Cstrong>Trajectory prediction\u003C/strong> (predicting and generating smooth motion paths).\u003C/li>\n\u003C/ol>\n\n\u003Cp>Switching between different robot embodiments requires only changing the textual prompt — \u003Ca href=\"https://huggingface.co/papers/2605.30280\">no new training heads or fine-tuning needed.\u003C/a>\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Impressive Benchmark Performance\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Ca href=\"https://www.youtube.com/watch?v=1iWeuWm-o-Y\">Qwen-VLA demonstrates strong results across both simulation and real-world settings\u003C/a>, often matching or surpassing specialist models trained for single tasks or platforms:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>LIBERO\u003C/strong> (manipulation benchmark): \u003Cstrong>97.9%\u003C/strong> success (near state-of-the-art);\u003C/li>\n\t\u003Cli>\u003Cstrong>RoboTwin-Hard\u003C/strong>: \u003Cstrong>87.2\u003C/strong>%;\u003C/li>\n\t\u003Cli>\u003Cstrong>Simpler-WidowX\u003C/strong>: \u003Cstrong>73.7%\u003C/strong> (outperforms many specialists);\u003C/li>\n\t\u003Cli>\u003Cstrong>Real-world ALOHA dual-arm robot:\u003C/strong>\u003C/li>\n\u003C/ul>\n\n\u003Cp>  - 83.6% average success in familiar (in-domain) conditions;\u003C/p>\n\n\u003Cp>  - \u003Cstrong>76.9%\u003C/strong> average success in unfamiliar (out-of-distribution) conditions — significantly better than π₀.5 from Physical Intelligence (71.6% / 41.5%).\u003C/p>\n\n\u003Cp>It also shows competitive performance in navigation benchmarks (R2R, RxR) and zero-shot capabilities on dynamic tasks like DOMINO.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why This Matters\u003C/strong>\u003C/h4>\n\n\u003Cp>Most current robotics AI systems are highly specialized: one model for picking, another for walking, yet another for each robot arm type. Qwen-VLA pushes toward a true generalist policy — a single brain that can be deployed across many platforms with minimal adaptation.\u003C/p>\n\n\u003Cp>This approach dramatically reduces development time and cost for robot deployment, making advanced AI control more accessible for research labs, startups, and industry applications in manufacturing, logistics, and home assistance.\u003C/p>\n\n\u003Cp>The model is open-sourced with code, weights, and a technical report available on GitHub and arXiv, following Qwen’s tradition of releasing powerful models to the community.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/crypto-trends-2026-2027-why-bitcoin-is-becoming-a-high-beta-macro-asset\">Crypto Trends 2026–2027: Why Bitcoin Is Becoming a High-Beta Macro Asset\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/no-bullshit-therapy-12-harsh-truths-that-ll-kick-your-delusions-in-the-ass\">No-Bullshit Therapy: 12 Harsh Truths That’ll Kick Your Delusions in the Ass\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/leaked-documents-reveal-meta-earned-16-billion-from-fraudulent-ads-it-refused-to-remove-then-fired-8-000-employees-to-cut-costs\">Leaked Documents Reveal Meta Earned $16 Billion from Fraudulent Ads It Refused to Remove – Then Fired 8,000 Employees to “Cut Costs”\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-trillion-dollar-gambit-is-musk-using-the-openai-lawsuit-to-fuel-the-greatest-wealth-transfer-in-history\">The Trillion-Dollar Gambit: Is Musk Using the OpenAI Lawsuit to Fuel the Greatest Wealth Transfer in History?\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Road Ahead for Embodied AI\u003C/strong>\u003C/h4>\n\n\u003Cp>Qwen-VLA joins other notable efforts like NVIDIA’s GR00T and Physical Intelligence’s π₀.5 in the race toward general-purpose robot intelligence. \u003Ca href=\"https://finance.yahoo.com/news/alibabas-qwen-lab-sets-robotics-093000050.html\">Its strength lies in unification and strong generalization across embodiments and environments.\u003C/a>\u003C/p>\n\n\u003Cp>As hardware improves and more diverse training data becomes available, models like Qwen-VLA could accelerate the arrival of truly versatile, language-guided robots that understand and act in the physical world as naturally as today’s LLMs understand text.\u003C/p>\n\n\u003Cp>This release strengthens Alibaba’s position in the rapidly evolving embodied AI space and provides the open-source community with a powerful new tool for robot development. Exciting times ahead for physical intelligence!\u003C/p>","qwen-vla-alibaba-s-unified-vision-language-action-model-brings-versatile-robot-control-to-a-new-level","2026-06-01T17:40:06.000000Z","01.06.2026",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},"https://cdn.quasa.io/images/news/xStMm8ehVpKrqFXnAmD5KxZBFowezStyY3Z0C27o.jpg","https://cdn.quasa.io/images/news/xStMm8ehVpKrqFXnAmD5KxZBFowezStyY3Z0C27o.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/xStMm8ehVpKrqFXnAmD5KxZBFowezStyY3Z0C27o.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/xStMm8ehVpKrqFXnAmD5KxZBFowezStyY3Z0C27o.webp","small",null,9,0,"en",{"id":42,"title":43,"slug":44,"meta_title":91,"meta_description":92,"meta_keywords":93,"show_on_homepage":94,"deleted_at":86,"created_at":95,"updated_at":96,"lang":89},"Technology | AI Breakthroughs and Fresh News | QUASA","All the most interesting and useful about technologies. Exclusive articles from technologies you won't find anywhere else.","Technology, tech, business, ai, gadget, gadgets, life hacks",true,"2023-03-23T08:15:32.000000Z","2026-05-28T13:56:36.000000Z",[98,102,115,127,140],{"title":72,"description":73,"slug":77,"created_at":78,"publish_at":78,"formatted_created_at":79,"category":99,"links":100,"view_type":85,"video_url":86,"views":87,"likes":88,"lang":89,"comments_count":88,"is_pinned":101},{"title":43,"slug":44},{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},false,{"title":103,"description":104,"slug":105,"created_at":106,"publish_at":107,"formatted_created_at":79,"category":108,"links":109,"view_type":85,"video_url":86,"views":114,"likes":88,"lang":89,"comments_count":88,"is_pinned":101},"Crypto Trends 2026–2027: Why Bitcoin Is Becoming a High-Beta Macro Asset","The crypto market will continue its convergence with traditional finance. 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