- ALMA: Human Centric Algebraic Machine Learning
- Grant agreement ID: 952091
- https://cordis.europa.eu/project/id/952091
- Algebraic Machine Learning (AML) applied algorithms: https://github.com/roboticslab-uc3m/alma-aml
- Robotic environments for applying AML algorithms: https://github.com/roboticslab-uc3m/gymnasium-alma
- Baseline deep neural network for comparison on robotic folding: https://github.com/roboticslab-uc3m/alma-dnn
- Dataset generator to train AML algorithm for robotic folding: https://github.com/roboticslab-uc3m/alma-dataset
- Generated dataset: https://doi.org/10.5281/zenodo.14864392
- Stephen Fox and Juan G. Victores. Safety of human–artificial intelligence systems: Applying safety science to analyze loopholes in interactions between human organizations, artificial intelligence, and individual people. Informatics, 2024. doi: 10.3390/informatics11020036. URL https://doi.org/10.3390/informatics11020036 (Q2)
- Juan G. Victores et Al. Algebraic Machine Learning for Robotic Garment Folding/Unfolding. Simposio CEA de Robótica, Bioingeniería, Visión Artificial y Automática Marina, 2025. (Upcoming)
- D7.5 (WP7) - Design of the benchmark tested for robotized ironing and garment folding - Initial - Demonstrator - Public - M36 (08/23)
- D7.6 (WP7) - Design of the benchmark tested for robotized ironing and garment folding - Final - Demonstrator - Public - M48 (08/24)
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