AR Digital Twin Demonstrator for Industrial Robotics Education


연구 분야: Artificial Intelligence



학회: International Conference on Computer Aided Systems Theory


초록

To meet the growing demand of robotics applications in industry high efforts are placed on research and education for robotics fundamentals, as a more intuitive and easier access to robotics must be ensured. Based on this, the aim of this work is to make a contribution to investigate new approaches for teaching robotics fundamentals using immersive technologies. In this work an existing digital twin for a desktop robot was extended by adding a feature for the positioning of way-points for path planning in an existing Augmented Reality (AR) application as well as update the robot controller with the inverse kinematics for the corresponding motion implementation. The performance of the new functionality was evaluated by means of a pick-and-place application and validated via a test series with an associated questionnaire. The conducted experiments have been carried out in a comparative study between the AR based digital twin and an ABB industrial robot where a clear benefit of the proposed systems for entry into robotics as well as for teaching was identified.


Author Profile
Horst Orsolits

University of Applied Sciences Technikum Wien Vienna Austria

Austria
Author Profile
Katrin Clauss

Beckhoff Automation GmbH and Co. KG Vienna Austria

Andorra
Author Profile
P. B. de Moura Oliveira

INESC-TEC UTAD-Universidade de Trás-os-Montes e Alto Douro Vila Real Portugal

Germany

📄 논문 정보

발행 연도 2025년
인용수 0
출판 국가 Germany, Andorra, Austria
사이트 Springer
좋아요 수 0

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