TechCrunch News 06月05日 04:11
Hugging Face says its new robotics model is so efficient it can run on a MacBook
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Hugging Face 近日发布了名为 SmolVLA 的开源人工智能机器人模型。该模型基于社区共享的数据集训练,在虚拟和现实环境中表现优于许多大型机器人模型。SmolVLA 旨在降低视觉-语言-动作(VLA)模型的获取门槛,加速通用机器人代理的研究。该模型轻量级且功能强大,可用于训练和评估通用机器人技术。SmolVLA 是 Hugging Face 建立低成本机器人硬件和软件生态系统的一部分,此前该公司还推出了 LeRobot 项目并收购了 Pollen Robotics。SmolVLA 可以在单个消费级 GPU 甚至 MacBook 上运行,支持异步推理堆栈,使机器人在快速变化的环境中能够更快地做出反应。

🤖 SmolVLA 是 Hugging Face 发布的一个开源 AI 机器人模型,它在虚拟和现实环境中的表现优于许多大型模型。

💡 该模型基于“兼容许可”的社区共享数据集进行训练,旨在降低 VLA 模型的获取门槛,加速通用机器人代理的研究。

💻 SmolVLA 足够小巧,可以在单个消费级 GPU 甚至 MacBook 上运行,并且支持异步推理堆栈,使机器人在快速变化的环境中能够更快地做出反应。

🛠️ SmolVLA 是 Hugging Face 建立低成本机器人硬件和软件生态系统的一部分,该公司此前还推出了 LeRobot 项目并收购了 Pollen Robotics。

It’s becoming a little easier to build sophisticated robotics projects at home.

AI dev platform Hugging Face released earlier this week an open AI model for robotics called SmolVLA. Trained on “compatibly licensed,” community-shared datasets, SmolVLA outperforms much larger models for robotics in both virtual and real-world environments, Hugging Face claims.

“SmolVLA aims to democratize access to vision-language-action [VLA] models and accelerate research toward generalist robotic agents,” writes Hugging Face in a blog post. “SmolVLA is not only a lightweight yet capable model, but also a method for training and evaluating generalist robotics [technologies].”

SmolVLA is a part of Hugging Face’s rapidly expanding effort to establish an ecosystem of low-cost robotics hardware and software. Last year, the company launched LeRobot, a collection of robotics-focused models, datasets, and tools. More recently, Hugging Face acquired Pollen Robotics, a robotics startup based in France, and unveiled several inexpensive robotics systems, including humanoids, for purchase.

SmolVLA, which is 450 million parameters in size, was trained on data from LeRobot Community Datasets, specially-marked robotics datasets shared on Hugging Face’s AI development platform. Parameters, sometimes referred to as weights, are the internal components of a model that guide its behavior.

Hugging Face claims that SmolVLA is small enough to run on a single consumer GPU — or even a MacBook — and can be tested and deployed on “affordable” hardware, including the company’s own robotics systems.

In an interesting twist, SmolVLA also supports an “asynchronous inference stack,” which Hugging Face says allows the model to separate the processing of a robot’s actions from the processing of what it sees and hears. As the company explains in its blog post, “[b]ecause of this separation, robots can respond more quickly in fast-changing environments.”

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SmolVLA is available for download from Hugging Face. Already, a user on X claims to have used the model to control a third-party robotic arm:

It’s worth noting that Hugging Face is far from the only player in the nascent open robotics race.

Nvidia has a collection of tools for open robotics, and startup K-Scale Labs is building the components for what it’s calling “open-source humanoids.” Other formidable firms in the segment include Dyna Robotics, Jeff Bezos-backed Physical Intelligence, and RLWRLD.

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Hugging Face SmolVLA 开源机器人 人工智能
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