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rc_reason CADMatch Module

Relying on an object‘s CAD data, the rc_reason CADMatch Module enables a robotic system to reliably detect, localize and pick said objects from unmixed load carriers, fully independent of the object‘s position and orientation.

This application can significantly increase the efficiency of production processes, e.g. by automating machine tending.

  • Detection and localization of objects based on CAD data
  • Delivers grasp point(s) for reliable pick-and-place
  • Template creation provided as a service
  • Increases efficiency of automation processes
  • Suitable for use with any rc_visard (monochrome, color)
Registration and purchase approval required.
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Description

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 two templates are included with the software purchase.

Downloads and Links

rc_cube product documentation: chapter on CADMatch (html)
rc_cube complete product documentation (.pdf)
Template request: Email support@roboception.de to request an object template to be created

Additional information

Hardware requirements

Any rc_visard sensor
rc_cube: Off-board installation required, use of rc_cube computer mandatory
Robotic system equipped with grasping device
Minimum object size (recommendation)

Indicative minimum object sizes at different viewing distances:

rc_visard 65 (c/m): 28.1 cm @ 3.0 m I 18.8 cm @ 2.0 m I 9.4 cm @ 1.0 m I 4.7 cm @ 0.5 m I 1.9 cm @ 0.2 m
rc_visard 160 (c/m): 28.1 cm @ 3.0 m I 18.8 cm @ 2.0 m I 9.4 cm @ 1.0 m I 4.7 cm @ 0.5 m
rc_visard 160-6 (m): 18.8 cm @ 3.0 m I 12.5 cm @ 2.0 m I 6.3 cm @ 1.0 m I 3.1 cm @ 0.5 m

For smaller objects or greater viewing distances, please consult with us prior to your purchase.
Grasp computation time

1 to 3 seconds (depending on object and scene)
Capturing mode

One-shot mode

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