S1 机器人基础模型:提示词可操控性演示

Rohan Paul · @rohanpaul_ai · X·2026-09-09 01:12·53分钟前
AI 导读

Skild AI 的机器人基础模型 S1 仅需 1 个视频示例即可学习新任务,并通过视频提示词操控行为。在相同厨房环境中,S1 能依据 4 种不同视频指令执行相应动作序列,包括“将盘子放入烤面包机”这类分布外任务。该能力决定新任务是否需要重新训练,或成机器人基础模型最具经济价值的特性。

Rohan Paul@rohanpaul_ai
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S1 机器人基础模型:提示词可操控性演示

2026-09-09 01:12· 53分钟前
AI 导读

Skild AI 的机器人基础模型 S1 仅需 1 个视频示例即可学习新任务,并通过视频提示词操控行为。在相同厨房环境中,S1 能依据 4 种不同视频指令执行相应动作序列,包括“将盘子放入烤面包机”这类分布外任务。该能力决定新任务是否需要重新训练,或成机器人基础模型最具经济价值的特性。

"Prompt steerability" could end up being one of the most economically important properties of a robot foundation model.

simply because, it determines whether a new task requires new training.

This S1 demo (Skild AI's new foundation model that learns from 1 example) is a good show of that.

The kitchen stays roughly the same, but the video instruction changes each time. S1 responds with different action sequences for each requested end state.

All these means, give the model 1 video demonstration, keep the weights fixed, and change the behavior through the prompt.

Deepak Pathak"Does S1 exhibit physical prompt steerability: different prompts induce distinct behavior in the same environment?" Yes! Watch S1 follow 4 different video promp...

来源:Rohan Paul· x.com