Biblio

Found 783 results
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
Muxfeldt A., Steil JJ.  2018.  Fusion of Human Demonstrations for Automatic Recovery during Industrial Assembly. 14th IEEE International Conference on Automation Science and Engineering.
Muxfeldt A., Kubus D..  2016.  Hierarchical decomposition of industrial assembly tasks. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
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" .
Muxfeldt A, Kluth J-H, Kubus D.  2014.  Kinesthetic Teaching in Assembly Operations – A User Study. Simulation, Modeling, and Programming for Autonomous Robots: 4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014. Proceedings. :533–544.
Muxfeldt A., Kubus D., Wahl F.M.  2015.  Developing new application fields for industrial robots - four examples for academia-industry collaboration. 2015 IEEE 20th Conference on Emerging Technologies Factory Automation (ETFA).
Muxfeldt A., Kubus D., Wahl F..  2015.  Developing New Application Fields for Industrial Robots - Four Examples for Academia Industry Collaboration. Proceedings of the IEEE 20th Conference on Emerging Technologies & Factory Automation. :1–7.
Muxfeldt A., Kluth J., Kubus D..  2014.  Kinesthetic Teaching in Assembly Operations - A User Study. Proc. of the 4th International Conference on Simulation, Modelling, and Programming for Autonomous Robots (SIMPAR 2014), Lectures Notes in Computer Science. 8810:533–544.
Muxfeldt A, Steil JJ.  2018.  Recovering from Assembly Errors by Exploiting Human Demonstrations. 51st CIRP Conference on Manufacturing Systems.
Muxfeldt A., Haus J.N, Cheng J., Kubus D..  2016.  Exploring tactile surface sensors as a gesture input device for intuitive robot programming. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
Muxfeldt A, Gopinathan S, Coenders T, Steil JJ.  2017.  A User Study on Human-Robot-Interactive Recovery for Industrial Assembly Problems. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p. 824-830.
N
Narioka K, Steil JJ.  2015.  U-shaped motor development emerges from Goal Babbling with intrinsic motor noise. :55–62.
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).
Neumann K, Steil JJ.  2012.  Intrinsic Plasticity via Natural Gradient Decent. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. :555–560.
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
Neumann K, Rolf M, Steil JJ.  2013.  Reliable Integration of Continuous Constraints into Extreme Learning Machines. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21:35–50.
Neumann K, Strub C, Steil JJ.  2013.  Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
Neumann K, Steil JJ.  2015.  Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
Neumann K.  2014.  Reliability of Extreme Learning Machines. :155.
Neumann K, Steil JJ.  2013.  Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
Neumann K, Steil JJ.  2011.  Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.
Neumann K, Emmerich C, Steil JJ.  2012.  Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 4:230–246.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
Nordmann A, Wrede S, Steil JJ.  2015.  Modeling of Movement Control Architectures based on Motion Primitives using Domain-Specific Languages.
Nordmann A, Emmerich C, Rüther S, Lemme A, Wrede S, Steil JJ.  2012.  Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.
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Osypiuk R..  2009.  Robot Motion and Control 2009. :381–390.

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