Found 188 results
Author Title [ Type(Desc)] Year
Search results for Steil  [Reset Search]
Conference Paper
Haschke R, Steil JJ, Ritter H.  2001.  Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. Artificial Neural Networks - ICANN 2001. 2130:1109–1114.
Weng S., Steil JJ.  2002.  Data Driven Generation of Interactions for Feature Bindingand Relaxation Labeling. Proc. Int. Conf. Artificial Neural Networks. :432–437.
Dehio N, Smith J, Wigand D, Xin G, Lin H-C, Steil JJ, Mistry M.  In Press.  Decoupled Motion and Force Control for Quadro-Arm Manipulation. Int. Conf. Robotics and Automation.
Barker S, Fuente LA, Hayatleh K, Fellows N, Steil JJ, Crook N.  2015.  Design of a Biologically Inspired Humanoid Neck.
Richter O, Reinhart F, Nease S, Steil JJ, Chicca E.  2015.  Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.
Klanke S, Lebedev DV, Haschke R, Steil JJ, Ritter H.  2006.  Dynamic Path Planning for a 7-DOF Robot Arm. Int. Conf. Intelligent Robots and Systems. :3879–3884.
Narioka K, Reinhart F, Steil JJ.  2015.  Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling. 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).
Rolf M, Steil JJ, Gienger M.  2009.  Efficient exploration and learning of whole body kinematics. IEEE 8th International Conference on Development and Learning. :1–7.
Lemme A, Reinhart F, Steil JJ.  2010.  Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.
Reinhart F, Steil JJ.  2014.  Efficient Policy Search with a Parameterized Skill Memory. :1400–1407.
Muxfeldt A, Kubus D, Haus J, Kissener K, Steil JJ.  2017.  Exploiting Tactile Gestures for Intuitive Robot Programming and Control. ICRA 2017 Workshop "The robotic sense of touch" .
Denecke A, Clemente IAyllon, Wersing H, Eggert J, Steil JJ.  2010.  Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks. :417–422.
Lemme A, Steil JJ.  2015.  A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.
Muxfeldt A, Steil JJ.  In Press.  Fusion of Human Demonstrations for Automatic Recovery during Industrial Assembly. 14th IEEE International Conference on Automation Science and Engineering.
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.
Pardowitz M, Haschke R, Steil JJ, Ritter H.  2008.  Gestalt-Based Action Segmentation for Robot Task Learning. IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS). :347–352.
Rolf M, Steil JJ.  2012.  Goal Babbling: a New Concept for Early Sensorimotor Exploration. Proceedings of Workshop on Developmental Robotics.
Rayyes R, Steil JJ.  2016.  Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot. Proceedings of the workshop on New Challenges in Neural Computation. 4:56–63.
Reinhart F, Steil JJ.  2009.  Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
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.
Muehlig M, Gienger M, Steil JJ.  2010.  Human-Robot Interaction for Learning and Adaptation of Object Movements. IEEE Int. Conf. Intelligent Robots and Systems. :4901–4907.
Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
Gienger M, Muehlig M, Steil JJ.  2010.  Imitating object movement skills with robots — A task-level approach exploiting generalization and invariance. The IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems : Conference Proceedings. :1262–1269.
Malekzadeh M, Queißer J, Steil JJ.  2017.  Imitation learning for a continuum trunk robot. Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
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.