Getting stable “yaw” for robotics: PCA, tabletop, and the beginning of my tracking pipeline.(reddit.com)

I am building a perception pipeline from RGB-D for pick-and-place with a depth camera. The goal is to detect an object on a table, estimate its 3D position, and obtain a stable orientation that the robot can use to grasp it. In this post, I describe some things I learned during the first part of the implementation, after training the segmentation model: https://medium.com/@danieldoradotalaveron/getting-stable-yaw-for-robotics-pca-tabletop-and-the-beginning-of-my-tracking-pipeline-8b9dd3921d3a submitted by /u/nettrotten [link] [Kommentare]