Project Details
Description
The project AI4GREEN aims to develop cross-border sustainable solutions to improve production processes in business and industry, in order to secure a livable future for future generations.
The project focuses on three main areas:
1. CO2 reduction in agriculture
2. Energy savings through optimized robot control
3. Resource savings through product and process optimization
The Salzburg University of Applied Sciences is taking over the management of the pilot project "Energy savings through optimized robot control". Together we want to use artificial intelligence to develop sustainable solutions for a more environmentally friendly future.
The project focuses on three main areas:
1. CO2 reduction in agriculture
2. Energy savings through optimized robot control
3. Resource savings through product and process optimization
The Salzburg University of Applied Sciences is taking over the management of the pilot project "Energy savings through optimized robot control". Together we want to use artificial intelligence to develop sustainable solutions for a more environmentally friendly future.
| Short title | Data Science for Sustainability |
|---|---|
| Acronym | AI4GREEN |
| Status | Active |
| Effective start/end date | 1/05/24 → 30/04/27 |
Collaborative partners
- Salzburg University of Applied Sciences GmbH
- University of Applied Sciences Kufstein (lead)
- Software Competence Center Hagenberg GmbH
- Kempten University of Applied Sciences
- Vorarlberg University of Applied Sciences
- University of Salzburg
- Rosenheim University of Applied Sciences
- University of Innsbruck
- University of Passau
- Deggendorf Institute of Technology
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):
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- KI
- Machine Learning
- Green IT
- Mechatronik
Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)
- 102015 Information systems
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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AI4Green: Harnessing the Ecological Potential of AI in Industry
Höfig, K., Döller, M., Waheed, F., Riss, F., Scholz, M., Bauer, J., Schäfer, G., Unger, H., Huber, S., Heinzl, B., Hellwig, M. & Finck, S., 1 Feb 2026, Computer Aided Systems Theory – EUROCAST 2026 – Extended Abstracts. Vol. 20.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improving Trajectory Tracking in Reinforcement Learning by Augmenting States with Future Targets
Schäfer, G., Rehrl, J., Huber, S. & Hirlaender, S., 31 Mar 2026.Research output: Contribution to conference › Poster
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Safe Reinforcement Learning using Ideas from Model Predictive Control
Schäfer, G., Rehrl, J., Huber, S. & Hirlaender, S., 1 Feb 2026, Computer Aided Systems Theory – EUROCAST 2026 – Extended Abstracts. Vol. 20.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review