Innovative Fabriksysteme

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1. Snehal Walunj; Nazanin Mashhaditafreshi; Parsha Pahlevannejad; Achim Wagner; Martin Ruskowski

   Human-Robot Interaction Through Egocentric Hand Gesture Recognition

   In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 125-133, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

2. Snehal Walunj; Michael Sintek; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski

   Ontology-Based Digital Twin Framework Using Contextual Affordances for Worker Assistance in Smart Factories

   In: Alberto Rodrigues da Silva; Miguel Mira da Silva; Jacinto Estima; Chris Barry; Michael Lang; Henry Linger; Christoph Schneider (Hrsg.). Advances in Information Systems Development: Information Systems Development, Organizational Aspects, and Societal Trends. Pages 153-172, Lecture Notes in Information Systems and Organisation (LNISO), Vol. 67, Springer Nature, Switzerland, 7/2024.

3. Hooman Tavakoli; Sungho Suh; Snehal Walunj; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski

   Object Detection for Human-Robot Interaction and Worker Assistance Systems

   In: John Soldatos. Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI. Pages 319-332, ISBN 978-3-031-46452-2, Springer Nature Switzerland, Cham, 2024.

4. Jibinraj Antony; Vinit Hegiste; Ali Nazeri; Hooman Tavakoli Ghinani; Snehal Walunj; Christiane Plociennik; Martin Ruskowski

   Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

   In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

5. Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

   Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

   In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

6. Stefan-Alexandru Precup; Snehal Walunj; Arpad Gellert; Christiane Plociennik; Jibinraj Antony; Martin Ruskowski

   Recognising Worker Intentions by Assembly Step Prediction

   In: Emerging Technologies and Factory Automation. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2023), September 12-15, Sinaia, Romania, IEEE, 9/2023.

7. Stefan-Alexandru Precup; Alexandru Matei; Snehal Walunj; Arpad Gellert; Christiane Plociennik; Constantin-Bala Zamfirescu

   Collaborative exploitation of various AI methods in adaptive assembly assistance systems

   In: Tenth International Conference on Information Technology and Quantitative Management (ITQM 2023). International Conference on Information Technology and Quantitative Management (ITQM-2023), August 12-14, Oxford, United Kingdom, Pages 1170-1177, Procedia Computer Science, Vol. 221, Elsevier B.V, 8/2023.

8. Snehal Walunj; Michael Sintek; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski

   Ontology-based Digital Twin Framework for Smart Factories

   In: 31st International Conference on Information Systems Development (ISD 2023), Lisbon, Portugal, 30 August to 1 September 2023. International Conference on Information Systems Development (ISD-2023), August 30 - September 1, Lisbon, Portugal, 2023.

9. Hooman Tavakoli Ghinani; Snehal Walunj; Parsha Pahlevannejad; Christiane Plociennik; Martin Ruskowski

   Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario

   EPIC@CVPR2021 workshop, 6/2021.

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