Maxinsights 采集人们做真实家务等任务的视频，为每段片段标注手部姿态和语言，用自研录制硬件在 8 个国家采集，流程覆盖任务设计到交付片段。统一采集设备让录制条件固定、环境变化成为模型可见的变量。其管线已服务 50+ 团队。
Human hands are becoming one of the most useful training signals in robot manipulation.
Maxinsights records people doing real tasks, like work in a home kitchen, and labels every clip with hand pose and language.
Maxinsights collects in 8 countries using recording hardware they build themselves, inside one pipeline that runs from task design to delivered clips.
Owning the hardware is what makes that spread useful. If the same capture setup goes to every location, the recording conditions stay fixed while the environment changes. Environment is the variation you want a model to see.
https://x.com/MaxinsightsAI/status/2117708427623559394/video/1
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://luma.com/wq7neni9在 X 查看被引用的帖子
来源：Rohan Paul · x.com