Maxinsights 推出 MaxGlove，在人们真实工作时记录手部触觉与力数据，补上摄像头拍不到的那层抓握信息。压力决定抓握成败——杯子是滑落还是碎裂，打滑时的修正始于指尖，通常早于摄像头察觉。Maxinsights 称已拍摄 2M+ 小时视频，目标到 2027 年积累一百万小时力数据。
Homes are becoming one of the richest places to collect robot training data, but its not as simple as just recording a video.
Hand force data is becoming one of the most useful signals in robot manipulation.
MaxGlove, from @Maxinsights records touch and force from people’s hands while they work, the layer of a grasp a camera can’t capture.
Pressure decides most of a grasp, whether the glass slides out or cracks. The correction when something starts to slip begins in the fingertips, usually before a camera can pick it up.
A policy trained only on video learns the shape of a grasp and has to infer the force. Glove data supplies the force directly, from people handling the objects robots will be asked to handle.
Maxinsights says it’s aiming for a million hours of force data by 2027, on top of the 2M+ hours of footage captured so far.
Robots learn by watching people work. Most of what they watch is staged. At @Maxinsights, we capture real work at natural speed in real homes, restaurants, and hotels. 2M+ hours so far. Today we’re announcing a $30M seed round led by @PeakXVPartners, plus two new products: MaxLoop: same-day quality scores on every clip MaxGlove: touch and force data a camera can't capture Thank you to our investors, builders, operators and customers. More to come.在 X 查看被引用的帖子
来源：Rohan Paul · x.com