Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Efficient and advanced system and methods for the elasto-kinematic calibration of robots (EASYRob)

Reference number
Coordinator Cognibotics AB
Funding from Vinnova SEK 2 918 895
Project duration July 2023 - November 2025
Status Ongoing
Venture Joint R&D projects for small and medium-sized enterprises in Sweden-Germany
Call German-Swedish Call for joint R&D projects by Small and Medium-sized Enterprises spring 2022

Purpose and goal

Intelligent production technology is vital for sustainable and competitive manufacturing in high-salary nations. Robots offer cost-effective, resource-efficient designs with exceptional flexibility and capability. To unleash their full potential, we must overcome the limitations of robot accuracy, which currently hinder commissioning and process diversity. The goal of this project is to create a fundamentally new way of providing robot calibration, and thereby cutting-edge robot accuracy, to the market. Contributing to the sustainable future we all need.

Expected effects and result

The project aims to create a portable and cost-effective measurement device for in-cell deployment, together with a powerful software stack to make robot calibration accessible to all robot users. The software stack will be instrumental in providing superior robot accuracy by facilitating elasto-kinematic robot calibration and offering comprehensive user guidance throughout the calibration process.

Planned approach and implementation

To achieve the project goal, the consortia will combine their expertise and conduct research on the following aspects: Exploring possibilities for simultaneous highly accurate measurements of forces and displacements. Predicting system capabilities. Developing optimal measurement trajectories, elasto-kinematic robot models, and parameter identification algorithms. The research findings will be integrated into the design and production of the robust measurement equipment. Additionally, they will contribute to the development of the comprehensive software stack.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 5 February 2025

Reference number 2023-00076