ArtiMinds +Vision

Easily set up a vision system and move your robot based on the vision detection results. RPS automatically generates the required robot script code to communicate with vision hardware, incorporate hand-eye or stationary mounting calibration and adapts the robot motion by using vision-based output data.

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Step-by-Step

Just set up the communication using the provided templates for the vision systems (SensoPart, Halcon) and configure it in RPS using the robot configurator.
Add new templates to your RPS program to execute a vision detection job and teach points relative to vision detection results in the programming phase. The points will be adapted automatically during the robot execution based on the vision detection results.
Use wizards to setup sanity checks and transformations of the vision results
Add new templates to move the robot to a vision detection result.
Inspect new channels in Live Data to track different detection results over time
Reuse RPS programs with different vision systems: just switch from SensoPart to Halcon and vice-versa depending on the project requirements.

Features:

Full support of several vision systems

VISOR SmartCams by SensoPart Industriesensorik GmbH
- RPS includes template (.job) to setup communication with robot system
- RPS includes example jobs (.job) files for detection of cardboard
HALCON by MVTec Software GmbH (3^rd party software)
- RPS includes HDevelop templates (.hdev) to setup communication with robot system
- RPS includes example HDevelop file for detection with Ensenso 3D camera
If you require support for specific components, just write a short request to contact@artiminds.com.

Templates and wizards to execute a vision detection job and gather the results (Cartesian pose data)

Setup the detection job using a Wizard including sanity checks and modifications like scaling, offsets and matrix transformations.
RPS provides tools to track and visualize the vision detection results in Live Data

Templates and wizards to teach robot poses relative to vision detection results

Teach points will automatically adapt during robot execution based on vision detection results.

Templates and wizards to move the robot using vision detection results

Templates like Center Detection make it easy to center the robot on a visually detected feature like a screw.
Move the robot relatively using offsets from vision results or move it to a teach point relative to an absolute vision result.

Robot configurator option to setup camera and specify the hand-eye calibration

RPS ensures an automatic consideration of calibration (wrist-mounted or stationary) when computing points based on vision results.

RPS example programs to generate motions for hand-eye calibration data

Move along a grid for equidistant measurements
Move along a sphere to keep a point in focus