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Modelling of Parameterized Processes via Regression in the Model Space
Aswolinskiy, Witali ; Reinhart, Felix ; Steil, Jochen J.2016A Multi-Level Control Architecture for the Bionic Handling Assistant
Rolf, Matthias ; Neumann, Klaus ; Queißer, Jeffrey ; Reinhart, Felix ; Nordmann, Arne ; Steil, Jochen J.In: Advanced Robotics, Jg. 29 H. 13: SI, S. 847-8592015Neural competition for motion segmentation
Steffen, Jan Frederik ; Pardowitz, Michael ; Steil, Jochen J. ; Ritter, Helge2010Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates
Neumann, Klaus ; Lemme, Andre ; Steil, Jochen J.2013Neural Learning of Vector Fields for Encoding Stable Dynamical Systems
Lemme, Andre ; Reinhart, Felix ; Neumann, Klaus ; Steil, Jochen J.In: Neurocomputing, Jg. 141, S. 3-142014Neurally imprinted stable vector fields
Lemme, Andre ; Neumann, Klaus ; Reinhart, Felix ; Steil, Jochen J.2013Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture
Wersing, Heiko ; Kirstein, Stephan ; Götting, Michael ; Brandl, Holger ; Dunn, Mark ; Mikhailova, Inna ; Görick, Christian ; Steil, Jochen J. ; Ritter, Helge ; Körner, Edgar2007OOP: Object-Oriented-Priority for Motion Saliency Maps
Belardinelli, Anna ; Schneider, Werner X. ; Steil, Jochen J.2010Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity
Neumann, Klaus ; Steil, Jochen J.In: Neurocomputing, Jg. 102 H. Special Issue: Advances in Extreme Learning Machines (ELM 2011), S. 23-302013Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks
Aswolinskiy, Witali ; Steil, Jochen J.2016Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand
Röthling, Frank ; Haschke, Robert ; Steil, Jochen J. ; Ritter, Helge2007Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot
Reinhart, Felix ; Steil, Jochen J.In: Procedia Technology, Jg. 26, S. 12-192016Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot
Rayyes, Rania ; Steil, Jochen J.In: Proceedings of the workshop on New Challenges in Neural Computation, Jg. 4, S. 56-632016Rare neural correlations implement robotic conditioning with reward delays and disturbances
Soltoggio, Andrea ; Lemme, Andre ; Reinhart, Felix ; Steil, Jochen J.In: Frontiers in Neurorobotics, Jg. 7, S. 6 ff.2013Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks
Emmerich, Christian ; Reinhart, Felix ; Steil, Jochen J.2010Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods
Neumann, Klaus ; Emmerich, Christian ; Steil, Jochen J.In: Journal of Intelligent Learning Systems and Applications, Jg. 4 H. 3, S. 230-2462012Reliable Integration of Continuous Constraints into Extreme Learning Machines
Neumann, Klaus ; Rolf, Matthias ; Steil, Jochen J.In: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Jg. 21 H. Suppl 2, S. 35-502013Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning
Vollmer, Anna-Lisa ; Mühlig, Manuel ; Steil, Jochen J. ; Pitsch, Karola ; Fritsch, Jannik ; Rohlfing, Katharina ; Wrede, BrittaIn: PLoS ONE, Jg. 9 H. 32014Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto
Queißer, Jeffrey ; Ishihara, Hisashi ; Hammer, Barbara ; Steil, Jochen J. ; Asada, Minoru2018