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English(EN) Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

NVIDIA 通过先进的物理 AI 平台赋能 AI 机器人和机器人出租车

NVIDIA正与Skild AI合作,通过让机器人从单个视频演示中学习新任务来推进机器人技术,这种技术被称为上下文内学习。该方法由NVIDIA的AI基础设施(包括Isaac Lab和Cosmos)提供支持,使机器人能够在无需大量重新编程的情况下适应不断变化的环境。与其他人AI系统相比,Skild AI的S1机器人基础模型在任务成功率方面取得了显著的提高,并且该公司在商业部署后实现了可观的收入增长。同时,NVIDIA也是机器人出租车行业的主要技术提供商,为AI训练、模拟和车载计算提供了一个全面的平台,该平台被主要的机器人出租车公司用于开发和扩展其自动驾驶车队。 AI

影响 NVIDIA的物理AI进步使得机器人更加适应环境,机器人出租车车队更具可扩展性,从而在实际应用中推动了自主系统的边界。

排序理由 该集群详细介绍了AI在机器人和自动驾驶汽车领域的进步,强调了NVIDIA在两个领域作为关键技术提供商的作用。

在 NVIDIA Blog 阅读 →

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NVIDIA 通过先进的物理 AI 平台赋能 AI 机器人和机器人出租车

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该集群详细介绍了AI在机器人和自动驾驶汽车领域的进步,强调了NVIDIA在两个领域作为关键技术提供商的作用。
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product, infra
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High
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报道来源 [2]

  1. NVIDIA Blog TIER_1 English(EN) · Sasa Docca ·

    Skild AI 借助 NVIDIA Physical AI 从单个视频教会机器人新任务

    Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products arrive, and most robots can’t keep up without significant reprogramming. Skild AI’s new S1 robot foundation model helps address this, designed to learn previousl…

  2. NVIDIA Blog TIER_1 English(EN) · Ali Kani ·

    实体AI掌舵:全球Robotaxi领导者如何利用NVIDIA技术构建

    The global robotaxi market — physical AI’s first commercial breakthrough — is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world’s busiest and most complex streets.…