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Program your robot in 3 steps:

1. Drag & Drop task sequence

2. Teach-in for parameterization

3. Press 'play' to simulate & execute





 RPS live!

April 03 - April 06, 2017 | McCormick Place, Chicago, IL

Visit us at booth 363!

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Automate Trade Show, April 03 - April 06, 2017, Chicago, IL|USA

Hannover Messe 2017, April 24 - April 28, 2017, Hannover|Germany

MOTEK 2017, Oct 09 - Oct 12, 2017, Stuttgart|Deutschland

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Request your personal
online session today!

 Contact us >>  

Features & Usage

Make your robot even more powerful with our software and benefit from the award-winning ArtiMinds RPS. Get to know the highly innovative RPS which enables fast and intuitive programming of complex robot tasks, including sensor-adaptive motions. The software may be used by integrators when building a solution as well as by end-users for easy and fast post-installation adaptation.

Our versatile features:

Intuitive Programming

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  • Programming via drag’n’drop and graphical user guidance.
  • No textual code programming needed
  • Few teach-in poses required. Use teach-in pendant, guiding or CAD
  • Direct execution on controller, automatic translation into HW-specific code
  • User interface adjustable to user level (robot novice to expert)
Force Control

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Our force-module allows advanced robot automation by addressing variances, e.g

  • Position, orientation, size or shape
  • Deformable surface, flexible material
  • Varying surface properties or friction

Controller complexity is hidden from novices, while experts can alter all parameters.

Vision Control (2D/3D)

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  • ongoing 3D-vision integration
Reusable Skills

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  • Easy reuse and adaptation of previously developed tasks
  • Build-up your own domain-specific, reusable skill libraries
  • Protect your process development intellectual property with our hardware dongle

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  • Offline programming. Also in combination with online programming
  • Support of CAD-data import of 30+ file formats including STEP, IGES, …
  • Advanced constraint-based collision-free motion planning
  • Cycle-time optimization through planning with target regions, bundles of alternative trajectories, etc.

Learn more...

  • Simulate your robot cell
  • Cycle-time optimization through planning with target regions, bundles of alternative trajectories, etc.