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Röthling F, Haschke R, Steil JJ, Ritter H.  2007.  Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
Rüther S, Hermann T, Mracek M, Kopp S, Steil JJ.  2013.  Supporting Workers and Quality Management in Sterilization Departments. Ambient Intelligence - Software and Applications. 219:229–236.
Rüther S, Hermann T, Mracek M, Kopp S, Steil JJ.  2013.  An Assistance System for Guiding Workers in Central Sterilization Supply Departments. Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments. :31–38.
Schiller UD, Steil JJ.  2005.  Analyzing the weight dynamics of recurrent learning algorithms. Neurocomputing. 63:5–23.
Schiller U.D, Steil JJ.  2003.  On the weight dynamcis of recurrent learning. Proc. European Symposium Artificial Neural Networks. :73–78.
Schrauwen B, Wardermann M, Verstraeten D, Steil JJ, Stroobandt D.  2008.  Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.
Seidel D, Emmerich C, Steil JJ.  2014.  Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). :4381–4388.
Shareef Z, Steil JJ.  2016.  Trajectory Optimization of COmpliant HuMANoid (COMAN) Robot Arm using Path Parameter based Dynamic Programming. Proc. IEEE Humanoids. :705–710.
Shareef Z, Reinhart F, Steil JJ.  2016.  Generalizing the Inverse Dynamic Model of KUKA LWR IV+ for Load Variations using Regression in the Model Space. Proceedings of IEEE Int. Conf. Intelligent Robots and Systems. :606–611.
Shareef Z, Mohammadi P, Steil JJ.  2016.  Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning. Proceedings 7th IFAC Symposium on Mechatronic Systems. :507––512.
Soltoggio A, Steil JJ.  2013.  Solving the distal reward problem with rare correlations. Neural Computation. 25:940–978.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
Soltoggio A, Lemme A, Steil JJ.  2012.  Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. :1427–1433.
Soltoggio A, Steil JJ.  2012.  How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. KI- Künstliche Intelligenz. 26:407–410.
Soltoggio A, Lemme A, Reinhart F, Steil JJ.  2013.  Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics. 7:6.
Spröwitz A, Tuleu A, Ajaoolleian M, Vespignani M, Moeckel R, Eckert P, D'Haene M, Degrave J, Nordmann A, Schrauwen B et al..  In Press.  Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs. Frontiers in Robotics and AI, section Bionics and Biomimetics.
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.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
Steil JJ.  2005.  Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
Steil JJ.  2004.  Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Steil JJ, Ritter H.  1999.  Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
Steil JJ.  2011.  What do humanoid robots offer to experimental psychology ? Connectionist models of neurocognition and emergent behavior : from theory to applications ; proceedings of the 12th Neural Computation and Psychology Workshop, Birkbeck, University of London, 8 - 10 April 2010. 20:361–371.
Steil JJ.  2004.  Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.