Biblio

Found 238 results
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Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
Meyer-Veit F, Rayyes R, Gerstner AOH, Steil JJ.  2022.  Hyperspectral Endoscopy using Deep Learning for Laryngeal Cancer Segmentation. ICANN.
Meyer-Veit F, Rayyes R, Gerstner A, Steil JJ.  2022.  Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. ESANN.
I
Mosemann H., Raue A., Wahl F..  1999.  Identification of Assembly Process States Using Polyhedral Convex Cones. IEEE International Conference on Robotics and Automation. :2756–2761.
Aswolinskiy W, Reinhart F, Steil JJ.  2015.  Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.
Queißer J, Reinhart F, Steil JJ.  2016.  Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
Röhrdanz F., Wahl F..  1996.  Incremental Free Space Acquisition and Representation for Automatic Grasping. Fourth Int. Conference on Automation, Robotics and Computer Vision (ICARCV). :904–908.
Kunkel M., Moral A., Rilk M., Wahl F..  2007.  Influence of Preconditioning on the Relaxation Behavior of Porcine Septal Cartilage Using Different Sized Indenters. Journal of Biomechanics: XXI Congress, International Society of Biomechanics (ISB). 40:116.
Steil JJ, Ritter H.  1998.  Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
Wischnewski M, Steil JJ, Kehrer L, Schneider WX.  2009.  Integrating Inhomogeneous Processing and Proto-object Formation in a Computational Model of Visual Attention. Human Centered Robot Systems: Cognition, Interaction, Technology. :93–102.
Wrede S, Johannfunke M, Lemme A, Nordmann A, Rüther S, Weirich A, Steil JJ.  2010.  Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
Rayyes R, Donat H, Steil JJ.  2021.  Interest-Driven Exploration for Real Robot Applications: Sample-Efficiency, High-Accuracy, and Robustness.
Rayyes R, Donat H, Steil JJ, Spranger M.  2021.  Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Transactions on Cognitive and Developmental Systems .
Röhrdanz F., Mosemann H., Wahl F..  1996.  International Conference on THEORY AND PRACTICE OF GEOMETRIC MODELING. :416–434.
K
Schrake H., Rieseler H., Wahl F..  1990.  Kinematic Inversion of Redundant Manipulators with Prototype Equations.
Steil JJ, Emmerich C, Swadzba A, Grünberg R, Nordmann A, Wrede S.  2013.  Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.
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Wersing H, Steil JJ, Ritter H.  1997.  A Layered Recurrent Neural Network for Feature Grouping. Int. Conf. on Artificial Neural Networks. :439–444.
Rolf M, Steil JJ, Gienger M.  2010.  Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.
Kubus D, Rayyes R, Steil JJ.  2018.  Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018.
Neumann K, Rolf M, Steil JJ, Gienger M.  2010.  Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
Rayyes R, Kubus D, Hartmann C, Steil JJ.  2017.  Learning Inverse Statics Models Efficiently. arXiv.
Rayyes R, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
Weng S, Wersing H, Steil JJ, Ritter H.  2006.  Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks. 17:843–862.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.

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