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Determining Exception Context in Assembly Operations from Multimodal Data., , , , and . Sensors, 22 (20): 7962 (2022)Reduction of Trajectory Encoding Data Using a Deep Autoencoder Network: Robotic Throwing., , , , and . RAAD, volume 980 of Advances in Intelligent Systems and Computing, page 86-94. Springer, (2019)Learning of Robotic Throwing at a Target using a Qualitative Learning Reward., , , , and . EUROCON, page 1-6. IEEE, (2019)Analysis of Methods for Incremental Policy Refinement by Kinesthetic Guidance., , , and . J. Intell. Robotic Syst., 102 (1): 5 (2021)Hierarchical learning of robotic contact policies., , and . Robotics Comput. Integr. Manuf., (April 2024)Incremental Policy Refinement by Recursive Regression and Kinesthetic Guidance., , , and . ICAR, page 344-349. IEEE, (2019)Integration of a reconfigurable robotic workcell for assembly operations in automotive industry., , , , , and . SII, page 778-783. IEEE, (2022)Is it Living? Insights from Modeling Event-Oriented, Self-Motivated, Acting, Learning and Conversing Game Agents., , , , , and . CogSci, cognitivesciencesociety.org, (2016)Learning of Exception Strategies in Assembly Tasks., , and . ICRA, page 6521-6527. IEEE, (2020)Modular ROS-based software architecture for reconfigurable, Industry 4.0 compatible robotic workcells., , , , , , , and . ICAR, page 44-51. IEEE, (2021)