Elsa Andrea Kirchner, Ph.D.

Affiliations: 
Robotics Innovation Center DFKI GmbH & University of Bremen 
Website:
http://robotik.dfki-bremen.de/de/ueber-uns/mitarbeiter/elki01.html
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Publications

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Kumar S, Wöhrle H, Trampler M, et al. (2019) Modular Design and Decentralized Control of the Recupera Exoskeleton for Stroke Rehabilitation Applied Sciences. 9: 626
Gutzeit L, Fabisch A, Otto M, et al. (2018) The BesMan Learning Platform for Automated Robot Skill Learning. Frontiers in Robotics and Ai. 5: 43
Gutzeit L, Fabisch A, Otto M, et al. (2018) The BesMan Learning Platform for Automated Robot Skill Learning. Frontiers in Robotics and Ai. 5: 43
Beckerle P, Kõiva R, Kirchner EA, et al. (2018) Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics. Frontiers in Neurorobotics. 12: 84
Seeland A, Krell MM, Straube S, et al. (2018) Empirical Comparison of Distributed Source Localization Methods for Single-Trial Detection of Movement Preparation. Frontiers in Human Neuroscience. 12: 340
Kirchner EA, Kim SK. (2018) Multi-Tasking and Choice of Training Data Influencing Parietal ERP Expression and Single-Trial Detection-Relevance for Neuroscience and Clinical Applications. Frontiers in Neuroscience. 12: 188
Planthaber S, Mallwitz M, Kirchner EA. (2018) Immersive Robot Control in Virtual Reality to Command Robots in Space Missions Journal of Software Engineering and Applications. 11: 341-347
Kim SK, Kirchner EA, Stefes A, et al. (2017) Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction. Scientific Reports. 7: 17562
Wöhrle H, Tabie M, Kim SK, et al. (2017) A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction. Sensors (Basel, Switzerland). 17
de Gea Fernández J, Mronga D, Günther M, et al. (2017) Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings Robotics and Autonomous Systems. 94: 102-119
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