All set - thanks to robot vision

furniture assembly with ensenso N35 and Robot Vision

The robot starts the assembly process by taking 3D images of the parts lying on the ground to create a map of the estimated positions of the various components. This task is performed by an Ensenso 3D camera that works according to the "projected texture stereo vision" principle (Stereo Vision), which imitates human vision: Two cameras acquire images from the same scene from two different positions.

"For a robot, putting together an IKEA chair with such precision is more complex than it looks," explains Professor Pham Quang Cuong of NTU. "The job of assembly, which may come naturally to humans, has to be broken down into different steps, such as identifying where the different chair parts are, the force required to grip the parts, and making sure the robotic arms move without colliding into each other. Through considerable engineering effort, we developed algorithms that will enable the robot to take the necessary steps to assemble the chair on its own." The result: the NTU robot installs the "Stefan" chair from Ikea in just 8 minutes and 55 seconds.

3D image processing using Ensenso stereo 3D cameras is the key to the solution. It convinces not only through accuracy, but also in terms of economy and speed.