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Runway 发布开源世界行动模型 Praxis-1

精选理由

Runway 的 Praxis-1 能让机器人从无限视频数据中学习,比传统机器人演示数据更强大。

Runway 推出 Praxis-1 开源世界行动模型,将视频预训练专业知识转化为机器人现实世界控制能力。该模型基于大规模视频预训练和实时基础设施构建,可作为机器人开发者和研究人员使用的策略模型,适用于任何复杂环境。Praxis-1 正与 Noble Machines、Standard Bots 和 Ultra 等早期合作伙伴进行测试,未来几个月将公开权重。

图片来源 · Runway ML
原文 · Runway ML

Introducing Praxis-1, an open-weight World Action Model that turns our video pre-training expertise into real world control for robots. Robot demonstration data is limited. But video data is infinite. Praxis-1 extends our bet that the best policy models will learn from video, and use that scale to bring embodied intelligence to every industry. Praxis-1 is built on our large-scale video pre-training and real-time infrastructure, and acts as a policy model for robotics developers and researchers that works across any embodiment or environment, no matter how complex. We are actively testing with early partners including Noble Machines, Standard Bots and Ultra, and will be releasing the weights publicly in the coming months. Learn more and request early access at runway.com/Praxis-1 Your browser does not support the video tag. 🔗 View on Twitter 💬 8 🔄 8 ❤️ 56 👀 3873 📊 19 ⚡