| Year |
Citation |
Score |
| 2019 |
Kumar S, Wöhrle H, Trampler M, Simnofske M, Peters H, Mallwitz M, Kirchner E, Kirchner F. Modular Design and Decentralized Control of the Recupera Exoskeleton for Stroke Rehabilitation Applied Sciences. 9: 626. DOI: 10.3390/App9040626 |
0.309 |
|
| 2018 |
Gutzeit L, Fabisch A, Otto M, Metzen JH, Hansen J, Kirchner F, Kirchner EA. The BesMan Learning Platform for Automated Robot Skill Learning. Frontiers in Robotics and Ai. 5: 43. PMID 33500929 DOI: 10.3389/frobt.2018.00043 |
0.315 |
|
| 2018 |
Gutzeit L, Fabisch A, Otto M, Metzen JH, Hansen J, Kirchner F, Kirchner EA. The BesMan Learning Platform for Automated Robot Skill Learning. Frontiers in Robotics and Ai. 5: 43. PMID 33500929 DOI: 10.3389/frobt.2018.00043 |
0.315 |
|
| 2018 |
Beckerle P, Kõiva R, Kirchner EA, Bekrater-Bodmann R, Dosen S, Christ O, Abbink DA, Castellini C, Lenggenhager B. Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics. Frontiers in Neurorobotics. 12: 84. PMID 30618706 DOI: 10.3389/Fnbot.2018.00084 |
0.398 |
|
| 2018 |
Seeland A, Krell MM, Straube S, Kirchner EA. Empirical Comparison of Distributed Source Localization Methods for Single-Trial Detection of Movement Preparation. Frontiers in Human Neuroscience. 12: 340. PMID 30233341 DOI: 10.3389/Fnhum.2018.00340 |
0.364 |
|
| 2018 |
Kirchner EA, Kim SK. 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. PMID 29636660 DOI: 10.3389/Fnins.2018.00188 |
0.364 |
|
| 2018 |
Planthaber S, Mallwitz M, Kirchner EA. Immersive Robot Control in Virtual Reality to Command Robots in Space Missions Journal of Software Engineering and Applications. 11: 341-347. DOI: 10.4236/Jsea.2018.117021 |
0.396 |
|
| 2017 |
Kim SK, Kirchner EA, Stefes A, Kirchner F. Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction. Scientific Reports. 7: 17562. PMID 29242555 DOI: 10.1038/S41598-017-17682-7 |
0.437 |
|
| 2017 |
Wöhrle H, Tabie M, Kim SK, Kirchner F, Kirchner EA. A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction. Sensors (Basel, Switzerland). 17. PMID 28671632 DOI: 10.3390/S17071552 |
0.387 |
|
| 2017 |
de Gea Fernández J, Mronga D, Günther M, Knobloch T, Wirkus M, Schröer M, Trampler M, Stiene S, Kirchner E, Bargsten V, Bänziger T, Teiwes J, Krüger T, Kirchner F. Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings Robotics and Autonomous Systems. 94: 102-119. DOI: 10.1016/J.Robot.2017.04.007 |
0.396 |
|
| 2017 |
de Gea Fernández J, Mronga D, Günther M, Wirkus M, Schröer M, Stiene S, Kirchner E, Bargsten V, Bänziger T, Teiwes J, Krüger T, Kirchner F. iMRK: Demonstrator for Intelligent and Intuitive Human–Robot Collaboration in Industrial Manufacturing Ki - KüNstliche Intelligenz. 31: 203-207. DOI: 10.1007/S13218-016-0481-5 |
0.388 |
|
| 2016 |
Kirchner EA, Kim SK, Tabie M, Wöhrle H, Maurus M, Kirchner F. An Intelligent Man-Machine Interface-Multi-Robot Control Adapted for Task Engagement Based on Single-Trial Detectability of P300. Frontiers in Human Neuroscience. 10: 291. PMID 27445742 DOI: 10.3389/Fnhum.2016.00291 |
0.427 |
|
| 2015 |
Kim SK, Kirchner EA. Handling few Training Data: Classifier Transfer Between Different Types of Error-Related Potentials. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 26701866 DOI: 10.1109/Tnsre.2015.2507868 |
0.341 |
|
| 2015 |
Woehrle H, Krell MM, Straube S, Kim SK, Kirchner EA, Kirchner F. An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials. Ieee Transactions On Bio-Medical Engineering. 62: 1696-705. PMID 25680204 DOI: 10.1109/Tbme.2015.2402252 |
0.364 |
|
| 2014 |
Kirchner EA, Tabie M, Seeland A. Multimodal movement prediction - towards an individual assistance of patients. Plos One. 9: e85060. PMID 24416341 DOI: 10.1371/Journal.Pone.0085060 |
0.371 |
|
| 2014 |
Ghaderi F, Kim SK, Kirchner EA. Effects of eye artifact removal methods on single trial P300 detection, a comparative study. Journal of Neuroscience Methods. 221: 41-7. PMID 24056231 DOI: 10.1016/J.Jneumeth.2013.08.025 |
0.338 |
|
| 2013 |
Krell MM, Straube S, Seeland A, Wöhrle H, Teiwes J, Metzen JH, Kirchner EA, Kirchner F. pySPACE-a signal processing and classification environment in Python. Frontiers in Neuroinformatics. 7: 40. PMID 24399965 DOI: 10.3389/Fninf.2013.00040 |
0.349 |
|
| 2013 |
Kirchner EA, Kim SK, Straube S, Seeland A, Wöhrle H, Krell MM, Tabie M, Fahle M. On the applicability of brain reading for predictive human-machine interfaces in robotics. Plos One. 8: e81732. PMID 24358125 DOI: 10.1371/Journal.Pone.0081732 |
0.558 |
|
| 2013 |
Vaca Benitez LM, Tabie M, Will N, Schmidt S, Jordan M, Kirchner EA. Exoskeleton technology in rehabilitation: Towards an EMG-based orthosis system for upper limb neuromotor rehabilitation Journal of Robotics. 2013. DOI: 10.1155/2013/610589 |
0.358 |
|
| 2013 |
Seeland A, Woehrle H, Straube S, Kirchner EA. Online movement prediction in a robotic application scenario International Ieee/Embs Conference On Neural Engineering, Ner. 41-44. DOI: 10.1109/NER.2013.6695866 |
0.305 |
|
| 2013 |
Kirchner EA, Drechsler R. A formal model for embedded brain reading Industrial Robot. 40: 530-540. DOI: 10.1108/Ir-01-2013-318 |
0.316 |
|
| 2013 |
Woehrle H, Teiwes J, Kirchner E, Kirchner F. A Framework for High Performance Embedded Signal Processing and Classification of Psychophysiological Data Apcbee Procedia. 7: 60-66. DOI: 10.1016/J.Apcbee.2013.08.013 |
0.402 |
|
| 2013 |
Metzen JH, Fabisch A, Senger L, de Gea Fernández J, Kirchner EA. Towards Learning of Generic Skills for Robotic Manipulation Ki - KüNstliche Intelligenz. 28: 15-20. DOI: 10.1007/S13218-013-0280-1 |
0.363 |
|
| 2012 |
Folgheraiter M, Jordan M, Straube S, Seeland A, Kim SK, Kirchner EA. Measuring the Improvement of the Interaction Comfort of a Wearable Exoskeleton: A Multi-Modal Control Mechanism Based on Force Measurement and Movement Prediction International Journal of Social Robotics. 4: 285-302. DOI: 10.1007/S12369-012-0147-X |
0.421 |
|
| Show low-probability matches. |