ArtiMinds Robotics

ArtiMinds Robotics

Albert-Nestler-Str. 11 76131 Karlsruhe

OFFLINE PROGRAMMING & SIMULATION WITH ARTIMINDS RPS

OFFLINE PROGRAMMING & SIMULATION WITH ARTIMINDS RPS

OFFLINE PROGRAMMING & SIMULATION WITH ARTIMINDS RPS

Program robots and simulate applications – without production downtime

ArtiMinds offers an innovative and continuous approach for planning, programming and maintenance of flexible robot-supported automation solutions, that saves you money and time – without having to write a single line of complex source code. Program your application offline on a PC without robot hardware, and visualize the robot’s motion in the 3D simulation environment to perform reachability tests and collision checks. A special feature is the seamless switch between online and offline programming that is possible at any time. Stay ahead of the competition with ArtiMinds RPS.

Robot applications typically go through three phases: Planning and programming, commissioning and operation, and maintenance and optimization. Each phase involves specific steps that can be more easily implemented either online or offline, depending on the task at hand.Since the phases merge seamlessly and involve different tasks, seamless data transfer and good coordination are essential. The innovative robotics software ArtiMinds RPS combines online and offline programming with a new continuous approach.

Offline programming – Your benefits

To program your robot offline no real hardware set-up is necessary. Programming is only done in a simulation environment. The advantage is clear: production processes do not have to be interrupted, i.e. offline programming reduces production downtimes compared to programming robots only online directly in the production environment. In the simulation environment, the robot’s workspace can be digitally visualized as exactly as possible using CAD data. For components with complex geometries, you can automatically generate paths and robot movements by importing the CAD model. All common file formats are supported. The data from the digital twin is then transferred to the real robot and, for example, if the robot programmer needs to teach key points, he can switch from offline to online programming.

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