Federated Residual Reinforcement Learning for Collaborative Robot Skill Learning in Industry
Abstract
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Citation: K. Abuibaid, V. Hegiste, T. Legler, A. Wagner and M. Ruskowski, “Federated Residual Reinforcement Learning for Collaborative Robot Skill Learning in Industry,” 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA), Dubrovnik, Croatia, 2025, pp. 530-536, doi: 10.1109/FLTA67013.2025.11336679.
MSc. Tatjana Legler
Researcher
Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on “Optimization of automated visual inspection of common rails using neural networks”. She has been working as a research assistent at the Chair of Machine Tools and Control Systems since November 2017.
Dr.-Ing. Achim Wagner
Professor
PD Dr.-Ing. Achim Wagner (born 1968) is the scientific head of the research area Innovative Factory Systems at the German Research Center for Artificial Intelligence and lecturer in the field of automation technology at the Technical University of Kaiserslautern. His current research focuses on fault-tolerant autonomous production systems and intelligent human-technology systems. After his diploma in information technology, he worked as a scientist and research group leader in the research fields of materials in electrical engineering, medical and rehabilitation robotics, autonomous mobile robots, human-technology interaction and reliable systems at the universities of the Saarland, Mannheim and Heidelberg.
Prof. Dr.-Ing. Martin Ruskowski
Head of Chair Department of Machine Tools and Control Systems (WSKL)
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