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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 30 1 Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics ... Röder, Frank; Eppe, Manfred; Wermter, Stefan. - : arXiv, 2022 BASE Show details 2 LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading ... Qu, Leyuan; Weber, Cornelius; Wermter, Stefan. - : arXiv, 2021 BASE Show details 3 Neural Network Learning for Robust Speech Recognition Qu, Leyuan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021 BASE Show details 4 Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives ... Zhong, Junpei; Cangelosi, Angelo; Wermter, Stefan. - : arXiv, 2020 BASE Show details 5 Conversational Language Learning for Human-Robot Interaction Bothe, Chandrakant Ramesh. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020 BASE Show details 6 Crossmodal Language Grounding in an Embodied Neurocognitive Model Heinrich, Stefan; Yao, Yuan; Hinz, Tobias... In: Front Neurorobot (2020) BASE Show details 7 Incorporating End-to-End Speech Recognition Models for Sentiment Analysis ... Lakomkin, Egor; Zamani, Mohammad Ali; Weber, Cornelius. - : arXiv, 2019 BASE Show details 8 Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots ... Bothe, Chandrakant; Garcia, Fernando; Maya, Arturo Cruz. - : arXiv, 2018 BASE Show details 9 GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection ... Lakomkin, Egor; Bothe, Chandrakant; Wermter, Stefan. - : arXiv, 2018 BASE Show details 10 Syntactic Reanalysis in Language Models for Speech Recognition Twiefel, Johannes; Hinaut, Xavier; Wermter, Stefan In: 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) ; https://hal.inria.fr/hal-01558462 ; 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Sep 2017, Lisbon, Portugal ; http://icdl-epirob.org/ (2017) BASE Show details 11 Interactive Natural Language Acquisition in a Multi-modal Recurrent Neural Architecture ... Heinrich, Stefan; Wermter, Stefan. - : arXiv, 2017 BASE Show details 12 Recurrent Neural Network for Syntax Learning with Flexible Predicates for Robotic Architectures Hinaut, Xavier; Twiefel, Johannes; Wermter, Stefan In: The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB) ; https://hal.inria.fr/hal-01417697 ; The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy, France ; http://icdl-epirob.org/ (2016) BASE Show details 13 Semantic Role Labelling for Robot Instructions using Echo State Networks Twiefel, Johannes; Hinaut, Xavier; Wermter, Stefan In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) ; https://hal.inria.fr/hal-01417701 ; European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2016, Bruges, Belgium ; https://www.elen.ucl.ac.be/esann/index.php?pg=esann16_programme (2016) BASE Show details 14 Using Natural Language Feedback in a Neuro-inspired Integrated Multimodal Robotic Architecture Twiefel, Johannes; Hinaut, Xavier; Borghetti, Marcelo... In: 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) ; https://hal.inria.fr/hal-01417706 ; 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Aug 2016, New York City, United States. pp.52 - 57, ⟨10.1109/ROMAN.2016.7745090⟩ ; http://www.tc.columbia.edu/conferences/roman2016/ (2016) BASE Show details 15 Natural language acquisition in recurrent neural architectures ; Erwerb von natürlicher Sprache in rekurrenten neuronalen Architekturen Heinrich, Stefan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2016 BASE Show details 16 A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French Hinaut, Xavier; Twiefel, Johannes; Petit, Maxime... In: Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo 2015) ; https://hal.inria.fr/hal-02561258 ; Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo 2015), Dec 2015, Montreal, Canada ; http://ceur-ws.org/Vol-1583/ (2015) BASE Show details 17 Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives Zhong, Junpei; Cangelosi, Angelo; Wermter, Stefan. - 2014 Abstract: Copyright ©2014 Zhong, Cangelosi and Wermter.This is an open-access article distributed under the terms of the Creative Commons Attribution License (CCBY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms ; The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and others' actions. According to Piaget's theory of cognitive development, these representations develop during the sensorimotor stage and the pre-operational stage. We propose a model that relates the conceptualization of the higher-level information from visual stimuli to the development of ventral/dorsal visual streams. This model employs neural network architecture incorporating a predictive sensory module based on an RNNPB (Recurrent Neural Network with Parametric Biases) and a horizontal product model. We exemplify this model through a robot passively observing an object to learn its features and movements. During the learning process of observing sensorimotor primitives, i.e., observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units. These representational units act as bifurcation parameters, guiding the robot to recognize and predict various learned sensorimotor primitives. The pre-symbolic representation also accounts for the learning of sensorimotor primitives in a latent learning context. ; Peer reviewed ; Final Published version Keyword: Behavioral Neuroscience; Cognitive Neuroscience; Horizontal product; Neuropsychology and Physiological Psychology; Parametric biases; Pre-symbolic communication; Recurrent neural networks; Sensorimotor integration URL: http://hdl.handle.net/2299/14543 BASE Hide details 18 Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives Zhong, Junpei; Cangelosi, Angelo; Wermter, Stefan. - : Frontiers Media S.A., 2014 BASE Show details 19 Temporal sequence detection with spiking neurons: towards recognizing robot language instructions Panchev, Christo; Wermter, Stefan In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 18 (2006) 1, 1-22 OLC Linguistik Show details 20 A modular approach to self-organization of robot control based on language instruction Wermter, Stefan; Elmshaw, Mark; Farrand, Simon In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 15 (2003) 2-3, 73-94 BLLDB Show details Page: 1 2

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