This repository is a web application for visualization and analysis of recorded motion data from industrial robots.
Autonome Messung und effiziente Speicherung von Industrieroboterbewegungsdaten
Automatic measurement and efficient storage of industrial robot movement data
The objective of this project is to establish the foundation for a robot measurement database capable of storing recorded motion data from industrial robots. By creating a comprehensive database that can continuously grow with new measurement data, various applications and scenarios can be supported, eliminating the need for time-consuming and expensive individual measurements.
The project commenced in September 2023 and is structured around four key milestones:
- Development of a method for comparing robot trajectories, considering position, orientation, velocity, and acceleration deviations across different robot arm configurations and sampling rates.
- Establishment of a database for storing and providing transaction data, emphasizing fast data retrieval and partial sequence search capabilities.
- Creation of a method for sequential test planning for robot path measurement, including the automatic generation of robot programs for autonomous measurement.
- Successful generation of data for the developed methods and algorithms for autonomous measurement, as well as the storage and provision of measurement data.
This research work is funded by the German Research Foundation (DFG) within the research project Autonome Messung und effiziente Speicherung von Industrieroboterbewegungsdaten (project number 515675259).