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Spröwitz A, Tuleu A, Ajaoolleian M, Vespignani M, Moeckel R, Eckert P, D'Haene M, Degrave J, Nordmann A, Schrauwen B et al..  2018.  Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs. Frontiers in Robotics and AI, section Bionics and Biomimetics.
Denecke A, Wersing H, Steil JJ, Körner E.  2009.  Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing. 72:1470–1482.
Rolf M, Steil JJ, Gienger M.  2011.  Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (best student paper award). 2:1–8.
Lemme A, Reinhart F, Steil JJ.  2012.  Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks. 33:194–203.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2007.  Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture. International Conference on Computer Vision Systems.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2007.  Online Learning of Objects in a Biologically Motivated Visual Architecture. International Journal of Neural Systems. 17:219–230.
Lebedev DV, Steil JJ, Ritter H.  2005.  An on-line neural network-based approach to dynamic path planning and coordination of two robot arms. Proc. Int. Conf. Intelligent Robotis and Systems. :2411–2416.
Steil JJ.  2007.  Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20:353–364.
Steil JJ.  2006.  Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
Belardinelli A, Schneider WX, Steil JJ.  2010.  OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
Wigand D, Mohammadi P, Hoffmann EMingo, Wrede S, Steil JJ, Tsagarakis N.  2018.  An Open-Source Architecture for Simulation, Execution and Analysis of Real-Time Robotics Systems. SIMPAR.
Lemme A, Meirovitch Y, Khansari-Zadeh SMohammad, Flash T, Billard A, Steil JJ.  2015.  Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 6:30–41.
Neumann K, Steil JJ.  2013.  Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
Aswolinskiy W, Steil JJ.  2016.  Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.
Hammer B, Steil JJ.  2002.  Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
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.
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.
Reinhart F, Steil JJ.  2009.  Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
Lebedev DV, Steil JJ, Ritter H.  2003.  Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics. :3408–3413.
Mohammadi P, Malekzadeh M, Kodl J, Mukovskiy A, Wigand D, Giese M, Steil JJ.  In Press.  Real-time Control of Whole-body Robot Motion and Trajectory Generation for Psychotherapeutic Juggling in VR. IROS 2018.
Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
Muxfeldt A, Steil JJ.  2018.  Recovering from Assembly Errors by Exploiting Human Demonstrations. 51st CIRP Conference on Manufacturing Systems.
Emmerich C, Reinhart F, Steil JJ.  2010.  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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.
Reinhart F, Steil JJ.  2008.  Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. Int. Symp. Learning Adaptive Behavior in Robotic Systems, best paper award. 1:35–40.