Chen, J., Zhang, D., Engel, A. K., Gong, Q., & Maye, A. (2017). Application of a single-flicker online SSVEP BCI for spatial navigation. PloS one, 12(5), e0178385. DOI: https://doi.org/10.1371/journal.pone.0178385

Xinqiang Pan, Yao Shuai, Chuangui Wu, Wenbo Luo, Xiangyu Sun, Huizhong Zeng, Hongliang Guo, Ye Yuan, Shengqiang Zhou, Roman Böttger, Hong Cheng, Jianwei Zhang, Wanli Zhang, Heidemarie Schmidt (2019). Compliance-current-modulated resistive switching with multi-level resistance states in single-crystalline LiNbO3 thin film. Solid State Ionics, 334, p. 1-4, 2019. doi: 10.1016/j.ssi.2019.01.026

Beik-Mohammadi, H., Kerzel, M., Görner, M., Zamani, M. A., Eppe, M., and Wermter, S. (2018). Neural end-to-end learning of reach for grasp ability with a 6-dof robot arm. IROS 2018 Workshop on Machine Learning in Robot Motion Planning.

Eppe, M., Kerzel, M., Strahl, E., and Wermter, S. (2018). Deep neural object analysis by interactive auditory exploration with a humanoid robot. IEEE/RSJ International Conference on Intelligent Robots and Systems.

Griffiths, S., Alpay, T., Sutherland, A., Kerzel, M., Eppe, M., Strahl, E., and Wermter, S. (2018). Exercise with social robots: Companion or coach? Sebastian Schneider, Sascha Griffiths, C. A. C. G. S. W. B. W., editor, Proceedings of Workshop on Personal Robots for Exercising and Coaching at the HRI 2018 (HRI2018), New York, NY, USA. ACM.

Hafez, B., Kerzel, M., Weber, C., and Wermter, S. (2018). Slowness-based neural visuomotor control with an intrinsically motivated continuous actor-critic. Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 509–514.

Hafez, B., Weber, C., Kerzel, M., and Wermter, S. (2018). Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning. arXiv:1810.11388 (Accepted in Paladyn, Journal of Behavioral Robotics).

Josifovski, J., Kerzel, M., Pregizer, C., Posniak, L., and Wermter, S. (2018). Object detection and pose estimation based on convolutional neural networks trained with synthetic data. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, pages 6269–6276.

Kerzel, M., Beik-Mohammadi, H., Zamani, M. A., and Wermter, S. (2018). Accelerating deep continuous reinforcement learning through task simplification. International Joint Conference on Neural Networks (IJCNN), pages 139–144.

Ng, H. G., Kerzel, M., Mehnert, J., May, A., and Wermter, S. (2018). Classification of mri migraine medical data using 3d convolutional neural network. Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., and Ilias, M., editors, International Conference on Artificial Neural Networks - ICANN 2018, pages 300–309. Springer.

Strahl, E., Kerzel, M., Eppe, M., Griffiths, S., and Wermter, S. (2018). Hear the egg demonstrating robotic interactive auditory perception. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018.

Zamani, M. A., Beik-Mohammadi, H., Kerzel, M., Magg, S., and Wermter, S. (2018). Learning spatial representation for safe human-robot collaboration in joint manual tasks. ICRA workshop on the WORKplace is better with intelligent, collaborative, robot MATEs (WORKMATE).

Fiedler, N., Bestmann, M., and Hendrich, N. (2018). ImageTagger: An Open Source Online Platform for Collaborative Image Labeling, RoboCup Symposium 2018, Montreal, Canada.

Speck, D., Bestmann, M., and Barros, P. (2018). Towards Real-Time Ball Localization using CNNs. RoboCup Symposium 2018, Montreal, Canada.

Li, S., Liang, H., and Zhang, J. (2018). Path Planning for Wheeled Mobile Service Robots based on Improved Genetic Algorithm", Shanghai International Symposium on Human-Centered Robotics (HCR), 251-254, 2018.

Kerzel, M., Wermter, S. (2017). Learning of neurobotic visuomotor abilities based on interactions with the environment, Proceedings of the DGR Days 2017, T. Asfour and M. Beetz, Eds., pages 14-15.

Parisi, G.I., Barros, M., Kerzel, M., Wu, H., Yang, G., Li, Z., Liu, X., Wermter S. (2017). A computational model of crossmodal processing for conflict resolution. Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics., pages 33-38.

Kerzel, M., Wermter S. (2017). Neural end-to-end self-learning of visuomotor skills by environment interaction. Artificial Nueral Networks and Machine Learning, ICANN-2017. Lecture Notes in Computer Science, vol. 10613, Springer. pages 27-34.

Kerzel, M., Strahl, E., Magg, S., Navarro-Guerrero, N., Heinrich, S., Wertmer S. (2017). NICO - neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. Proceedings IEEE International Symposium on Robot and Human Interactive Communication (ROMAN-2017). pages 113-120.

Kerzel, M., Ali, M.M.M., Ng, H.G., Wermter S. (2017). Haptic material classification with a multi-channel neural neetwork. International Joint Conference on Neural networks, IJCNN-2017, Anchorage, Alaska. IEEE, pages 439-446.

Eppe, M., Kerzel, M., Griffiths, S., Ng, H.G., Wermter S. (2017). Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), pages 612-617.

Kerzel, M., Ng, H.G., Griffiths, S., Wermter S. (2017). Effect of a humanoids active role during learning with embodied dialogue systems. Workshop Towards Intelligent Social Robots, IEEE International Symposium on Robot and Human Interactive Communication (ROMAN-2017).