Biblio

Found 239 results
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I
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 .
Rayyes R, Donat H, Steil JJ.  2021.  Interest-Driven Exploration for Real Robot Applications: Sample-Efficiency, High-Accuracy, and Robustness.
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.
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.
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, 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.
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.
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.
Queißer J, Reinhart F, Steil JJ.  2016.  Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
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.
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.
H
Meyer-Veit F, Rayyes R, Gerstner A, Steil JJ.  2022.  Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. ESANN.
Meyer-Veit F, Rayyes R, Gerstner AOH, Steil JJ.  2022.  Hyperspectral Endoscopy using Deep Learning for Laryngeal Cancer Segmentation. ICANN.
Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
Reinhart F, Shareef Z, Steil JJ.  2017.  Hybrid Analytical and Data-driven Modeling for Feed-forward Robot Control. Sensors. 17(2)
Steil JJ, Sagerer G, Ritter H, Körner E.  2008.  Humans and Humanoids - Perspectives on Research in Cognition and Robotics. KI - Künstliche Intelligenz. 4:33–36.
Schrake H., Rieseler H., Wahl F..  1991.  How to Obtain Correct Inverse Kinematics Solutions Using Paul's Inversion Method. Proceedings 14th IASTED International Symposium Manufacturing and Robotics. :44-47.
Eichhorn K., Tingelhoff K., Wagner I., Westphal R., Rilk M., Kunkel M., Wahl F., Bootz F..  2008.  HNO 2008. 56:789–-794.
Röhrdanz F., Mosemann H., Wahl F..  1997.  HighLAP: A High Level System for Generating, Representing, and Evaluating Assembly Sequences. International Journal on Artificial Intelligence Tools. 6:149–163.
Röhrdanz F., Mosemann H., Wahl F..  1996.  HighLAP : A High Level System for Generating, Representing, and Evaluating Assembly Sequences. IEEE International Joint Symposia on Intelligence and Systems. :134–141.
Spehr J., Rosebrock D., Mossau D., Auer R., Brosig S., Wahl F..  2011.  Hierarchical Scene Understanding for Intelligent Vehicles. Proc. of IEEE Intelligent Vehicles Symposium (IV),. :1142–1147.
Rayyes R, Donat H, Steil JJ.  2020.  Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.
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Steil JJ, Heidemann G, Jockusch J, Rae R, Jungclaus N, Ritter H.  2001.  Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
Steil JJ, Heidemann G, Jockusch J, Rae R, Jungclaus N, Ritter H.  2001.  Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
Gutsche R., Röhrdanz F., Wahl F..  1994.  Graphics & Robotics. :87–114.

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