Biblio

Found 237 results
Author Title [ Type(Desc)] Year
Filters: Author is Jochen J. Steil  [Clear All Filters]
Conference Paper
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.
Barut S, Boneberger M, Mohammadi P, Steil JJ.  2021.  Benchmarking Real-Time Capabilities of ROS2 and OROCOS for Robotics Applications. ICRA. :708-714.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2006.  A biologically motivated system for unconstrained online learning of visual objects. Proc. of the Int. Conf. on Artificial Neural Networks (ICANN). 2:508–517.
Rolf M, Steil JJ, Gienger M.  2010.  Bootstrapping inverse Kinematics with Goal Babbling. :147–154.
Dehio N, Steil JJ.  2016.  A Comparison of Null-space Projection and Mixture of Torque Controllers for Motion Generation. Proc. 9th Int. Workshop on Human-Friendly Robotics.
Mohammadi P, Hoffmann EMingo, Dehio N, Malekzadeh M, Giese M, Tsagarakis N, Steil JJ.  2020.  Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality. ICRA - RAM paper presentation .
Rolf M, Steil JJ.  2012.  Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS). :3440–3446.
Lieder Y, Steil JJ.  2021.  Constraint optimization for Echo State Networks applied to satellite image forecasting. ESANN. :299-304.
Dehio N, Reinhart F, Steil JJ.  2016.  Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.
Dehio N, Kubus D, Steil JJ.  2018.  Continuously Shaping Projections and Operational Space Tasks. IROS 2018.
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.
Donat H., Mohammadi P, Steil JJ.  2023.  Data-Driven Estimation of Forces Along the Backbone of Concentric Tube Continuum Robots. Int. Conf. Robotics and Automation (ICRA).
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.
Dehio N, Steil JJ.  2019.  Dynamically-consistent Generalized Hierarchical Control. ICRA. :1141-1147.
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.
Mohammadi P, Kubus D, Steil JJ.  2019.  Exploiting Environment Contacts of Serial Manipulators. ICRA, 4991 - 4997.
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.

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