Maxinsights 推出 MaxGlove，可在人们真实作业时记录手部触觉与力信号，捕捉摄像头拍不到的抓握力信息。官方称目标到 2027 年积累 100 万小时力数据，此前已采集超 200 万小时视频素材。背景推文显示其同时完成 3000 万美元种子轮融资，并发布 MaxLoop 片段当日质量评分产品。
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