Nvidia 将 Halos 安全架构扩展至机器人
Nvidia 已把 2025 年面向自动驾驶汽车的 Halos 安全系统扩展到机器人领域：2026 年 6 月发布的 Halos for Robotics 提供硬件与软件工具，帮助开发者为仓储自主移动机器人、工厂人形机器人乃至手术机器人设置安全护栏。Nvidia 机器人生态与边缘计算负责人 Amit Goel 对 Ars Technica 表示，如今 AI 模型和机器人硬件的能力都在提升，安全将成为下一个瓶颈。Ars Technica 将此置于 Nvidia 在物理 AI 领域数十亿美元投入的背景下，与其在 AI 数据中心市场的地位并列。
随着机器人和自动驾驶走向实际部署，成体系的安全护栏可能成为厂商能否规模落地的关键前提。
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Investors bullish on AI data centers may be fueling Nvidia’s multitrillion-dollar market capitalization, but the AI chipmaker has also bet billions of dollars on physical AI technologies such as robotics and self-driving cars. Part of that gambit has involved developing a full-stack safety system that companies can build upon to reduce the risk of their machines harming nearby people.
Nvidia’s Halos system launched in 2025 with hardware and software tools to help developers implement guardrails in self-driving cars and other autonomous vehicles. Then the company expanded its safety architecture to more physical AI technologies by announcing Nvidia Halos for Robotics in June 2026—with the goal of enabling safe deployments of autonomous mobile robots in warehouses, humanoid robots walking around inside a factory, or even surgical robots.
“Now the AI models are getting capable, the robot hardware is getting capable, and a thing we thought is going to be the next bottleneck is safety,” Amit Goel, head of robotics ecosystem and edge computing at Nvidia, told Ars. “So that’s why we launched our Halos for Robotics to unlock the capability of these systems.”