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Aswolinskiy W, Reinhart F, Steil JJ.  2016.  Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
Wrede S, Wojtynek M, Steil JJ, Beyer O, Frobieter C, Franke V.  2016.  Modulare Fertigungslinien für die individualisierte Produktion. Werkstattstechnik online. 4:204-210.
Emmerich C, Reinhart F, Steil JJ.  2013.  Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.
Malekzadeh M, Queißer J, Steil JJ.  2019.  Multi-level control architecture for Bionic Handling Assistant robot augmented by learning from demonstration for apple-picking. Advanced Robotics. :1-17.
Rolf M, Neumann K, Queißer J, Reinhart F, Nordmann A, Steil JJ.  2015.  A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.
McGuire PC, Fritsch J, Ritter H, Steil JJ, Röthling F, Fink GA, Wachsmuth S, Sagerer G.  2002.  Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. Proc. Int. Conf. Intelligent Robotis and Systems. :1082–1089.
Dehio N, Reinhart F, Steil JJ.  2015.  Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.
Rayyes R, Kubus D, Steil JJ.  2018.  Multi-Stage Goal Babbling for Learning Inverse Models Simultaneously.. IROS workshop.
Ritter H, Steil JJ, Nölker C, Röthling F, McGuire PC.  2003.  Neural Architectures for Robotic Intelligence. Reviews in the Neurosciences. 14:121–143.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2010.  Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
Reinhart F, Steil JJ.  2011.  Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
Lemme A, Reinhart F, Neumann K, Steil JJ.  2014.  Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.
Lebedev DV, Steil JJ, Ritter H.  2003.  A Neural Network Model that Calculates Dynamic Distance Transform for Path Planning and Exploration in a Changing Environment. Proc. IEEE Int. Conf. on Robotics and Automation. :4209–4214.
Lemme A, Neumann K, Reinhart F, Steil JJ.  2013.  Neurally imprinted stable vector fields. ESANN. :327–332.
Lebedev DV, Steil JJ, Ritter H.  2002.  A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World. Advances in Neural Networks World. :141–146.