BF-EYECO - Eye-Tracking Enhanced CObotics

Project Details


In the field of manual production, the interaction between humans and robots poses a considerable challenge. Collaborative robots ("cobots") provide physical and cognitive support for personnel. These cobots are usually programmed for specific, recurring tasks or are controlled manually. For more complex interactions, however, specific expertise is required. Although cobots are easier to program than conventional industrial robots, learning complicated scenarios can be time-consuming and error-prone. Current studies offer promising approaches for human-robot collaboration, for example through eye tracking.
The EYECO project aims to investigate intuitive forms of human-robot collaboration. The plan is to develop a prototype that facilitates the handling and programming of robots through eye and voice control. We want to demonstrate new possibilities in the areas of accessibility, user-friendliness, flexibility and safety. The prototype will be tested and evaluated in realistic environments. The results will be published in journals/conference papers and exhibited at Digispace (Campus Steyr) and the Center for Smart Manufacturing (Wels). We hope that this will lead to progress in human-machine collaboration using state-of-the-art visualization and sensor technologies.
Short titleBF-EYECO
Effective start/end date01.01.202431.12.2024

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure


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