| Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings J de Gea Fernández, D Mronga, M Günther, T Knobloch, M Wirkus, ... Robotics and Autonomous Systems 94, 102-119, 2017 | 85 | 2017 |
| pySPACE—a signal processing and classification environment in Python MM Krell, S Straube, A Seeland, H Wöhrle, J Teiwes, JH Metzen, ... Frontiers in Neuroinformatics 7, 40, 2013 | 66 | 2013 |
| The capio active upper body exoskeleton and its application for teleoperation M Mallwitz, N Will, J Teiwes, EA Kirchner Proceedings of the 13th Symposium on Advanced Space Technologies in Robotics …, 2015 | 64 | 2015 |
| Identifying the potential of human-robot collaboration in automotive assembly lines using a standardised work description J Teiwes, T Bänziger, A Kunz, K Wegener Automation and Computing (ICAC), 2016 22nd International Conference on, 78-83, 2016 | 48 | 2016 |
| iMRK: Demonstrator for intelligent and intuitive human–robot collaboration in industrial manufacturing J de Gea Fernández, D Mronga, M Günther, M Wirkus, M Schröer, ... KI-Künstliche Intelligenz 31, 203-207, 2017 | 19 | 2017 |
| A framework for high performance embedded signal processing and classification of psychophysiological data H Woehrle, J Teiwes, E Kirchner, F Kirchner APCBEE procedia 7, 60-66, 2013 | 13 | 2013 |
| A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration-For Usage without Acquisition of Training Data. H Wöhrle, J Teiwes, MM Krell, EA Kirchner, F Kirchner NEUROTECHNIX, 46-53, 2013 | 10 | 2013 |
| Prediction of Movements by Online Analysis of Electroencephalogram with Dataflow Accelerators. H Woehrle, J Teiwes, M Tabie, A Seeland, EA Kirchner, F Kirchner NEUROTECHNIX, 31-37, 2014 | 8 | 2014 |
| Reconfigurable dataflow hardware accelerators for machine learning and robotics H Wöhrle, J Teiwes, MM Krell, A Seeland, EA Kirchner, F Kirchner Proceedings of European Conference on Machine Learning and Principles and …, 2014 | 6 | 2014 |
| Heterogeneous Dataflow Hardware Accelerators for Machine Learning on Reconfigurable Hardware H Woehrle, J Teiwes, MM Krell, A Seeland, EA Kirchner, F Kirchner ECML/PKDD 2014, 129, 2014 | | 2014 |
| BRIO Labyrinth 2 E Kirchner, L Abdenebaoui, JH Metzen, M Tabie, J Teiwes, C Bergatt, ... | | 2009 |
| a Signal Processing and Classification Environment written in Python MM Krell, S Straube, A Seeland, H Wöhrle, J Teiwes, JH Metzen, ... | | |
