Matic扫地机器人弃用LiDAR，纯视觉方案引关注
This is so cool: Matic put the same vision-first bet Tesla made for self driving…
This is so cool: Matic put the same vision-first bet Tesla made for self driving into a robot that cleans your home.
这太酷了：Matic 把特斯拉在自动驾驶上那种愿景优先的赌注，押在了一个能打扫你家的机器人上。
Five RGB-IR cameras, no LiDAR, and an NVIDIA Jetson Orin running the inference onboard. It holds a photorealistic 3D map of the place and keeps updating it while it cleans, so it knows a charging cable from a sock from the dog and handles each one differently.
五个 RGB-IR 摄像头，没有激光雷达，用 NVIDIA Jetson Orin 在机载端运行推理。它保存着家里的逼真 3D 地图，并在清洁时不断更新，所以它能区分充电线、袜子和狗，并分别以不同方式处理。
The LiDAR inside a robot vacuum is a single spinning laser. A dark rug swallows the beam, the sensor reports a cliff, and the machine refuses to cross your own floor.
扫地机器人里的激光雷达是一个旋转的激光点。深色地毯会吸收光束，传感器报告有悬崖，机器就拒绝越过你自己的地板。
Cameras plus real compute change the order of operations. It works out what a thing is first, then decides how to clean around it.
摄像头加上真正的计算能力改变了操作顺序。它先弄清楚物体是什么，再决定如何绕开它清洁。
Seven years went into the perception stack before a single unit shipped, built by a team of under 100 people in California. @maticrobots
在首台设备出货前，感知系统花了七年时间研发，由加州一个不到 100 人的团队打造。@maticrobots
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力