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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score20

Robot data team says it prepares training clips for more than 50 teamsMachine translation

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The team says it turns questions about what robots should learn into training-ready clips through task design, recording with its own hardware, hand-pose and language labeling, and quality checks. It says the same setup serves more than 50 teams in its pipeline.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

@MaxinsightsAI 想想就觉得奇怪:大语言模型当初多轻松啊,它们免费获得了整个互联网。机器人却得一间厨房一间厨房地拍摄自己的训练素材,还得人工标注。

ReplyMaxinsights@MaxinsightsAI
Translation
我们整天做的事,大致是:接下一个团队的问题(“机器人应该学什么?”),把它转化成可直接用于训练的视频片段。任务设计、我们自己的录制硬件、处理、手部姿态和语言标注、质量检查。我们项目流程中的 50 多个团队都采用同一套配置。 11 月 9 日星期一,在 CoRL 来就任何一个环节向我们提问吧:https://t.co/Yu09S5gkVF
Original

What we do all day, roughly: take a team's question ("what should the robot learn?") and turn it into clips ready to train on. Task design, our own recording hardware, processing, hand pose and language labels, quality checks. Same setup for all 50+ teams in our pipeline. Come grill us on any step at CoRL, Mon Nov 9: https://t.co/Yu09S5gkVF

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Source: Rohan Paul · x.com

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