Biblio
Found 239 results
Author Title [ Type
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Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
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1999. Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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2010. Real-Time Vehicle Detection with a Single Camera Using Shadow Segmentation and Temporal Verification. Proc. of IEEE, RSJ International Conference on Intelligent Robots and Systems (IROS).
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2012. Real-Time Vehicle Detection with a Single Camera Using Shadow Segmentation and Temporal Verification. Proc. of IEEE, RSJ International Conference on Intelligent Robots and Systems (IROS).
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2012. Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics. :3408–3413.
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2003. Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
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2009. Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
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2007. Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
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2007. Planning Sensor Feedback for Assembly Skills by Using Sensor State Space Graphs. ICIRA 2012. :696–707.
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2012. Paranasal Sinuses Segmentation / Reconstruction for Robot Assisted Endonasal Surgery. Thematic Conference on Computational Vision and Medical Image Processing ECCOMAS VIPIMAGE. :175–181.
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2007. Optimization of static and dynamic anti-windup compensator using new improved particle swarm optimization algorithm. IEEE 15th International Symposium on Computational Intelligence and Informatics.
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2014. An on-line neural network-based approach to dynamic path planning and coordination of two robot arms. Proc. Int. Conf. Intelligent Robotis and Systems. :2411–2416.
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2005. Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture. International Conference on Computer Vision Systems.
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2007. Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (best student paper award). 2:1–8.
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2011. Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills. Int. Conference Developmental Learning. :327-334.
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2019. A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World. Advances in Neural Networks World. :141–146.
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2002. Neurally imprinted stable vector fields. ESANN. :327–332.
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2013. A Neural Network Model that Calculates Dynamic Distance Transform for Path Planning and Exploration in a Changing Environment. Proc. IEEE Int. Conf. on Robotics and Automation. :4209–4214.
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2003. Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
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2011. Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
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2010. Multiple Task Optimization with a Mixture of Controllers for Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6416–6421.
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2015. Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. Proc. Int. Conf. Intelligent Robotis and Systems. :1082–1089.
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2002. Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. Proc. Int. Conf. Intelligent Robotis and Systems. :1082–1089.
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2002. Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.
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2016. Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. Proc. European Symposium Artificial Neural Networks. :369–374.
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