Robot trajectory generation based on digital design content

Main functionalities

Speeding up robot simulation and programming: by using data from digital design data, such as Building Information Model (BIM). Utilizing digital design information for robot simulation and offline programming. Existing digital design data from a CAD model can be utilized to generate trajectories for robotized tasks such as milling at an early phase of development, which shortens design-to-production time and, in turn, significantly eases integration of new workpiece production.
Rapid AR/VR models: utilizing design data to create AR/VR models. The goal is to speed up the creation of AR/VR models or virtual twin models by using data from the digital design data. This module can be utilized in training, safety and production planning purposes.

Technical specifications


HTC Vive or similar virtual reality headset
Desktop PC with Windows 10
Sufficient hardware for VR applications


SolidWorks or similar CAD software
SolidWorks or similar CAD software is used to integrate robot trajectory data into the product’s design data, which is preserved in the form of curves or points. This data can then be utilized in robot simulation or offline programming in a robot simulation or programming framework such as RoboDK. Data can also be utilized with Unity and SteamVR for creating AVR-experiences of production for training and marketing purposes.

Inputs and outputs

Inputs of this module are simulation data files and digital design data files provided in STL, STEP and BIM formats. These inputs can be utilized with 3D development platforms, such as Unity, Blender or Vuforia to create an AVR-experience for training purposes, or with RoboDK simulation software in order to create robot trajectories. Keypoints for robot trajectory generation can be integrated into the design data using CAD software such as Solidworks. Outputs of this module are robot trajectory files or AVR-executables.

Formats and standards

Digital design file formats: STL, STEP

Owner (organization)

Centria University of Applied Sciences


To learn more about the solution, click on the link below to access the training on the Moodle platform
Digital Design Content Based Robot Trajectory Generation

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