It also enables the output of a single 3D point cloud of all cameras used in multi-camera operation, which is required in this case, as well as the live composition of the 3D point clouds from multiple viewing directions.
The first camera is installed above the source box in order to consider the latter as a collision object in the path planning of the robot arm. Here the unknown parts are presented and the point cloud for searching the appropriate handle point is generated. The latter is done with the help of the Mikado ARC (Adaptive Robot Control) software from isys vision. It combines Ensenso's 3D stereo vision camera technology with an easily configurable, adaptive robot controller. The result is a complete 3D robot vision solution for bin picking and parts handling with an autonomously operating robot, as supplied by autopick. Instead of following predefined, taught and firmly defined paths, it orients itself independently in the workspace and reacts to every situation.
The second camera is above the target box. It searches for free storage positions. In addition, the Z-height of the box content is determined in order to be able to take this into account when determining the storage position. It is crucial that the target box is occupied evenly and that the products are placed carefully. The latter is particularly important when picking fragile parts. The image acquisition is asynchronous to the movement of the robot in order to optimize the cycle time.
"We chose the Ensenso N35 for its compact design and high point cloud quality. For the considered field of view, the N series is ideal. The configuration of the camera can be easily and precisely adjusted to the respective product portfolio, or even adapted during the process," explains the system manager at psb intralogistics. Handle information and picking orders are exchanged via the interface to the warehouse management system.