With the rc_reason CADMatch module, robotic systems are enabled to reliably detect, localize and pick unmixed objects e.g. from bins or cages, fully independent of the object‘s position/ orientation, based on a previously taught CAD model.
The rc_reason CADMatch module uses a CAD model as input, AppliedAI-based machine learning processes and highly intuitive user interfaces: Non-experts are hence able to configure the grasp points and implement the pick-and-place process with just a few mouseclicks. The software allows the specification of one or more grasp points per object, hence enabling picking by a two-finger gripper or a suction device.
This module runs off-board the rc_visard on an rc_cube S computer (not included) and is operated through an intuitive WebGUI interface that includes a grasp-teaching interface. Note that the purchase of an rc_cube computer is required in order to operate the CADMatch Module.
The CADMatch Module requires a template of the object to be detected. This serves as input to an AppliedAI-based detection process. The creation of this template from the object‘s CAD data is available as a service through Roboception; the first five templates are included with the software purchase.
Downloads and Links
rc_cube product documentation: chapter on CADMatch (html) – coming soon
rc_reason CADMatch tutorials (html) – coming soon
rc_cube complete product documentation (.pdf) – coming soon
Template request: Email firstname.lastname@example.org to request an object template to be created