Rezultaty Websites, patent fillings, videos etc. (5) Science communication Communication activities, supported by services from Robohub within the collaboration with them, and Blogs, in particular within the Digital Europe Agenda system. Professional video on GOAL3 Demo Professional video on GOAL3 Demo. Project web-site and logo First version of project web-site. Logo of project. The maintenance of the web-site is an activity that will last during the whole project. The consortium, under the lead of CNR, will work to design the web-site structure and logo, and to populate it with contents related to the project. CNR will pay some professionals for support on technical aspects contributing to the realisation of the web-site. Professional video on GOAL4 Demo. Professional video on GOAL4 Demo. Professional video on GOAL2 Demo Professional video on the second demo GOAL2 . Documents, reports (14) Action Check Meeting 2 Draft agenda and list of presentations of Check Meeting 2. Action Check Meeting 3 Draft agenda and list of presentations of Check Meeting 3. Action Check Meeting 1 Draft agenda and list of presentations of Check Meeting 1. Dissemination and Exploitation Plan: first version Plan of dissemination and exploitation: first compilation. CNR will lead the whole plan compilation. As stated in the submitted proposal, TUDa will lead the exploitation section of the plan. Goal-based skill learning: first results Algorithms allowing autonomous robots to learn large repertoires of flexible skills based on goals. Scientific publications and conferences Publications in journals, and presentations at conferences and other similar scientific events, on the project results. Self goal-generation: consolidated results Goal-formation/architectures to acquire sequential/hierarchical skills. GOAL in infants and its models: first results Report on how contingencies and goals are discovered and drive autonomous motor learning in infants, and formalisation of discovered mechanisms in computational models. GOAL in infants and its models: consolidated results Report on principles of generalisation, transfer, and agency, related to contingencies and goals, in infants and robots. Dissemination and Exploitation Plan: third version Plan of dissemination and exploitation: revision leading to the third version of the plan. CNR will lead the whole plan compilation. As stated in the submitted proposal, TUDa will lead the exploitation section of the plan. Journal Special Issue Journal Special Issue on the project results, hosted in a relevant journal. Self goal-generation: first results Mechanisms for goal formation, and architectures/mechanisms to support open-ended learning of skills in robots. Goal-based skill learning: consolidated results Algorithms to learn repertoires of flexible sequential/hierarchical skills. Dissemination and Exploitation Plan: second version Plan of dissemination and exploitation: revision leading to the second version of the plan. CNR will lead the whole plan compilation. As stated in the submitted proposal, TUDa will lead the exploitation section of the plan. Other (9) International Workshop International Workshop on the project topics, involving researchers from both the project consortium and the scientific community beyond it. Industry fair: second participation Second participation to an industry fair and contacts with companies for the possible exploitation of the project outcomes. Second open-ended learning competition Second open-ended learning competition and improvement of open-ended learning benchmark. Second ethical implications workshop Organisation of the second workshop on the possible implications of open-ended learning for society. First ethical implications workshop Organisation of the first workshop on the possible implications of open-ended learning for society. Industry fair: third participation Third participation to an industry fair and contacts with companies for the possible exploitation of the project outcomes. First open-ended learning competition First open-ended learning competitions related to open-ended learning, supporting the definition of a benchmark for open-ended learning. International Summer School International Summer School on the project topics and approach to open-ended learning. Industry fair: first participation First participation to an industry fair and contacts with companies for the possible exploitation of the project outcomes. Demonstrators, pilots, prototypes (4) GOAL1 Demonstrator GOAL1 demonstrator will show: (a) the set-ups used in the Demos; (b) the operation of the basic robot architectures supporting open-ended learning of GOAL2/GOAL3; (c) the successful accomplishment of initial open-ended learning processes. GOAL4 Demonstrator GOAL4 demonstrator will show a solution to the tidy-up challenge in a real-life scenario. The pivotal element of the demo is that the robot will solve the challenge by relying on knowledge and skills autonomously acquired through a prolonged GOAL-based development preceding the challenge itself, without knowing in advance the type of initial object configuration, object misplacement, and specific objects involved. The autonomous-learning abilities of the robots will be shown by giving the robots new objects. GOAL2 Demonstrator GOAL2 demonstrator will show robots that can learn several different skills in an open-ended fashion. GOAL3 Demonstrator GOAL3 demonstrator will show robots that not only can learn several different skills with little supervision, but can also learn to perform each skill in several different conditions. Open Research Data Pilot (3) Plan for Open Data Pilot: first version First document describing the data management plan to comply to the Open Data Pilot initiative. Plan for Open Data Pilot: second version Revised second document describing the data management plan to comply to the Open Data Pilot initiative. Plan for Open Data Pilot: third version Third revised document describing the data management plan to comply to the Open Data Pilot initiative. Publikacje Other (24) Intrinsic motivations and open-ended learning Autorzy: Baldassarre, Gianluca Opublikowane w: Issue 13, 2019 Wydawca: arXiv Recurrent Connectivity Aids Recognition of Partly Occluded Objects Autorzy: Ernst, Markus Roland; Triesch, Jochen; Burwick, Thomas Opublikowane w: Issue 1, 2019 Wydawca: arXiv Learning High-Level Planning Symbols from Intrinsically Motivated Experience Autorzy: Oddi, Angelo; Rasconi, Riccardo; Cartoni, Emilio; Sartor, Gabriele; Baldassarre, Gianluca; Santucci, Vieri Giuliano Opublikowane w: Issue 3, 2019 Wydawca: arXiv Autonomous learning of multiple, context-dependent tasks Autorzy: Santucci, Vieri Giuliano; Montella, Davide; da Silva, Bruno Castro; Baldassarre, Gianluca Opublikowane w: Issue 1, 2020 Wydawca: arXiv Autonomous Open-Ended Learning of Interdependent Tasks Autorzy: Santucci, Vieri Giuliano; Cartoni, Emilio; da Silva, Bruno Castro; Baldassarre, Gianluca Opublikowane w: Issue 2, 2019 Wydawca: arXiv ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows Autorzy: Urain, Julen; Ginesi, Michelle; Tateo, Davide; Peters, Jan Opublikowane w: Issue 12, 2020 Wydawca: arXiv An open-ended learning architecture to face the REAL 2020 simulated robot competition Autorzy: Cartoni, Emilio; Montella, Davide; Triesch, Jochen; Baldassarre, Gianluca Opublikowane w: Issue 1, 2020 Wydawca: arXiv The Development of Active Binocular Vision under Normal and Alternate Rearing Conditions Autorzy: Lukas Klimmasch; Johann Schneider; Alexander Lelais; Bertram E. Shi; Jochen Triesch Opublikowane w: Issue 1, 2020 Wydawca: BioRxiv DOI: 10.1101/2020.02.20.957449 Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture Autorzy: Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan Opublikowane w: Issue 13, 2020 Wydawca: arXiv Supervised Topological Maps Autorzy: Mannella, Francesco Opublikowane w: Issue 15, 2020 Wydawca: arXiv Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots Autorzy: Lisa Jacquey; Gianluca Baldassarre; Vieri Giuliano Santucci; J. Kevin O'Regan Opublikowane w: https://hal.archives-ouvertes.fr/hal-03130944, Issue 1, 2019 Wydawca: PsyArXiv DOI: 10.31234/osf.io/sr52x Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders Autorzy: Ernst, Markus Roland; Triesch, Jochen; Burwick, Thomas Opublikowane w: Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, Issue 1, 2019 Wydawca: arXiv Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk Autorzy: Watson, Joe; Peters, Jan Opublikowane w: Issue 1, 2021 Wydawca: arXiv Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints Autorzy: Del Verme, Manuel; da Silva, Bruno Castro; Baldassarre, Gianluca Opublikowane w: Issue 9, 2020 Wydawca: arXiv Autonomous discovery of the goal space to learn a parameterized skill Autorzy: E. Cartoni, G. Baldassarre Opublikowane w: 2018 Wydawca: arXiv Autonomous Open-Ended Learning of Interdependent Tasks Autorzy: V.G. Santucci, E. Cartoni, B. Castro da Silva, G. Baldassarre Opublikowane w: 2019 Wydawca: arXiv Learning to touch objects through stage-wise deep reinforcement learning Autorzy: de La Bourdonnaye , François; Teulière , Céline; Triesch , Jochen; Chateau , Thierry Opublikowane w: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Issue 1, 2019 Wydawca: IEEE Autonomous Reinforcement Learning of Multiple Interrelated Tasks Autorzy: Santucci V. G., Baldassarre G. and Cartoni E. Opublikowane w: arXiv, 2019 Wydawca: arXiv Recurrent Connectivity Aids Recognition of Partly Occluded Objects Autorzy: Ernst, Markus Roland and Triesch, Jochen and Burwick, Thomas Opublikowane w: arXiv, 2019 Wydawca: Cornell University Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders Autorzy: Wilmot, Charles; Shi, Bertram E.; Triesch, Jochen Opublikowane w: Issue 6, 2021 Wydawca: arXiv Learning walk and trot from the same objective using different types of exploration Autorzy: Liu, Zinan; Ploeger, Kai; Stark, Svenja; Rueckert, Elmar; Peters, Jan Opublikowane w: Issue 11, 2019 Wydawca: arXiv Learning Abstract Representations through Lossy Compression of Multi-Modal Signals Autorzy: Wilmot, Charles; Triesch, Jochen Opublikowane w: Issue 1, 2021 Wydawca: arXiv Model-Based Quality-Diversity Search for Efficient Robot Learning Autorzy: Keller, Leon; Tanneberg, Daniel; Stark, Svenja; Peters, Jan Opublikowane w: Issue 13, 2020 Wydawca: arXiv Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk Autorzy: Watson, Joe; Peters, Jan Opublikowane w: arXiv, Issue 1, 2021 Wydawca: arXiv Peer reviewed articles (28) Detection of sensorimotor contingencies in infants before the age of 1 year: A comprehensive review. Autorzy: Lisa Jacquey, Jacqueline Fagard, Rana Esseily, J. Kevin O'Regan Opublikowane w: Developmental Psychology, Issue 56/7, 2020, Page(s) 1233-1251, ISSN 0012-1649 Wydawca: American Psychological Association DOI: 10.1037/dev0000916 General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain Autorzy: Stefano Zappacosta, Francesco Mannella, Marco Mirolli, Gianluca Baldassarre Opublikowane w: PLOS Computational Biology, Issue 14/8, 2018, Page(s) e1006227, ISSN 1553-7358 Wydawca: Public Library Of Science DOI: 10.1371/journal.pcbi.1006227 Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots Autorzy: Lisa Jacquey, Gianluca Baldassarre, Vieri Giuliano Santucci, J. Kevin O’Regan Opublikowane w: Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00098 Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots Autorzy: Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto, Gianluca Baldassarre Opublikowane w: Frontiers in Neurorobotics, Issue 13, 2020, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00115 Development of body knowledge as measured by arm differentiation in infants: From global to local? Autorzy: Lisa Jacquey, Sergiu Tcaci Popescu, Judith Vergne, Jacqueline Fagard, Rana Esseily, Kevin O’Regan Opublikowane w: British Journal of Developmental Psychology, Issue 38/1, 2020, Page(s) 108-124, ISSN 0261-510X Wydawca: Wiley-Blackwell DOI: 10.1111/bjdp.12309 Acceptability of the Transitional Wearable Companion “+me” in Children With Autism Spectrum Disorder: A Comparative Pilot Study Autorzy: Valerio Sperati, Beste Özcan, Laura Romano, Tania Moretta, Simone Scaffaro, Noemi Faedda, Giada Turturo, Francesca Fioriello, Simone Pelosi, Federica Giovannone, Carla Sogos, Vincenzo Guidetti, Gianluca Baldassarre Opublikowane w: Frontiers in Psychology, Issue 11, 2020, ISSN 1664-1078 Wydawca: Frontiers Research Foundation DOI: 10.3389/fpsyg.2020.00951 Action observation and motor imagery for rehabilitation in Parkinson's disease: A systematic review and an integrative hypothesis Autorzy: Daniele Caligiore, Magda Mustile, Gianfranco Spalletta, Gianluca Baldassarre Opublikowane w: Neuroscience & Biobehavioral Reviews, Issue 72, 2017, Page(s) 210-222, ISSN 0149-7634 Wydawca: Pergamon Press Ltd. DOI: 10.1016/j.neubiorev.2016.11.005 The architecture challenge: Future artificial-intelligence systems will require sophisticated architectures, and knowledge of the brain might guide their construction Autorzy: Gianluca Baldassarre, Vieri Giuliano Santucci, Emilio Cartoni, Daniele Caligiore Opublikowane w: Behavioral and Brain Sciences, Issue 40, 2017, ISSN 0140-525X Wydawca: Cambridge University Press DOI: 10.1017/S0140525X17000036 Which limb is it? Responses to vibrotactile stimulation in early infancy Autorzy: Eszter Somogyi, Lisa Jacquey, Tobias Heed, Matej Hoffmann, Jeffrey J. Lockman, Lionel Granjon, Jacqueline Fagard, J. Kevin O'Regan Opublikowane w: British Journal of Developmental Psychology, 2017, ISSN 0261-510X Wydawca: Wiley-Blackwell DOI: 10.1111/bjdp.12224 Know Your Body Through Intrinsic Goals Autorzy: Francesco Mannella, Vieri G. Santucci, Eszter Somogyi, Lisa Jacquey, Kevin J. O'Regan, Gianluca Baldassarre Opublikowane w: Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2018.00030 Acceptability of the Transitional Wearable Companion “+me” in Typical Children: A Pilot Study Autorzy: Valerio Sperati, Beste Özcan, Laura Romano, Simone Scaffaro, Tania Moretta, Giada Turturo, Maria Nicoletta Aliberti, Vincenzo Guidetti, Gianluca Baldassarre Opublikowane w: Frontiers in Psychology, Issue 10, 2019, ISSN 1664-1078 Wydawca: Frontiers Research Foundation DOI: 10.3389/fpsyg.2019.00125 Action Observation With Dual Task for Improving Cognitive Abilities in Parkinson’s Disease: A Pilot Study Autorzy: Daniele Caligiore, Magda Mustile, Alissa Fineschi, Laura Romano, Fabrizio Piras, Francesca Assogna, Francesco E. Pontieri, Gianfranco Spalletta, Gianluca Baldassarre Opublikowane w: Frontiers in Systems Neuroscience, Issue 13, 2019, ISSN 1662-5137 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnsys.2019.00007 Bio-Inspired Model Learning Visual Goals and Attention Skills Through Contingencies and Intrinsic Motivations Autorzy: Valerio Sperati, Gianluca Baldassarre Opublikowane w: IEEE Transactions on Cognitive and Developmental Systems, Issue 10/2, 2018, Page(s) 326-344, ISSN 2379-8920 Wydawca: IEEE DOI: 10.1109/tcds.2017.2772908 Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome Autorzy: Daniele Caligiore, Francesco Mannella, Michael A. Arbib, Gianluca Baldassarre Opublikowane w: PLOS Computational Biology, Issue 13/3, 2017, Page(s) e1005395, ISSN 1553-7358 Wydawca: Public Library of Science DOI: 10.1371/journal.pcbi.1005395 Fetal Origin of Sensorimotor Behavior Autorzy: Jaqueline Fagard, Rana Esseily, Lisa Jacquey, Kevin O’Regan, Eszter Somogyi Opublikowane w: Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2018.00023 Stage-Wise Learning of Reaching Using Little Prior Knowledge Autorzy: François de La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau Opublikowane w: Frontiers in Robotics and AI, Issue 5, 2018, ISSN 2296-9144 Wydawca: Frontiers DOI: 10.3389/frobt.2018.00110 Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks Autorzy: Daniel Tanneberg, Jan Peters, Elmar Rueckert Opublikowane w: Neural Networks, Issue 109, 2019, Page(s) 67-80, ISSN 0893-6080 Wydawca: Pergamon Press Ltd. DOI: 10.1016/j.neunet.2018.10.005 A Reinforcement Learning Architecture that Transfers Knowledge between Skills when Solving Multiple Tasks Autorzy: Paolo Tommasino, Daniele Caligiore, Marco Mirolli, Gianluca Baldassarre Opublikowane w: IEEE Transactions on Cognitive and Developmental Systems, 2019, Page(s) 1-1, ISSN 2379-8920 Wydawca: IEEE DOI: 10.1109/tcds.2016.2607018 Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling Autorzy: A. Šošić, E. Rueckert, J. Peters, A. M. Zoubir, H. Koeppl Opublikowane w: The Journal of Machine Learning Research, 2018, ISSN 1532-4435 Wydawca: MIT Press Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding Autorzy: Alexander Lelais, Jonas Mahn, Vikram Narayan, Chong Zhang, Bertram E. Shi, Jochen Triesch Opublikowane w: Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00049 Robot End Effector Tracking Using Predictive Multisensory Integration Autorzy: Lakshitha P. Wijesinghe, Jochen Triesch, Bertram E. Shi Opublikowane w: Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2018.00066 An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning Autorzy: Gianluca Baldassarre, William Lord, Giovanni Granato, Vieri Giuliano Santucci Opublikowane w: Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218 Wydawca: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00045 Different Dopaminergic Dysfunctions Underlying Parkinsonian Akinesia and Tremor Autorzy: Daniele Caligiore, Francesco Mannella, Gianluca Baldassarre Opublikowane w: Frontiers in Neuroscience, Issue 13, 2019, ISSN 1662-453X Wydawca: Frontiers DOI: 10.3389/fnins.2019.00550 A generative spiking neural-network model of goal-directed behaviour and one-step planning Autorzy: Ruggero Basanisi, Andrea Brovelli, Emilio Cartoni, Gianluca Baldassarre Opublikowane w: PLOS Computational Biology, Issue 16/12, 2020, Page(s) e1007579, ISSN 1553-7358 Wydawca: Public Library Of Science DOI: 10.1371/journal.pcbi.1007579 6-Month-Old Infants’ Sensitivity to Contingency in a Variant of the Mobile Paradigm With Proximal Stimulation Studied at Fine Temporal Resolution in the Laboratory Autorzy: Sergiu Tcaci Popescu, Alice Dauphin, Judith Vergne, J. Kevin O’Regan Opublikowane w: Frontiers in Psychology, Issue 12, 2021, ISSN 1664-1078 Wydawca: Frontiers Research Foundation DOI: 10.3389/fpsyg.2021.610002 Développement du savoir-faire corporel durant la première année de vie du bébé Autorzy: Lisa Jacquey, Jacqueline Fagard, Kevin O’Regan, Rana Esseily Opublikowane w: Enfance, Issue N°2/2, 2020, Page(s) 175, ISSN 0013-7545 Wydawca: Presses Universitaires de France DOI: 10.3917/enf2.202.0175 A computational model of language functions in flexible goal-directed behaviour Autorzy: Giovanni Granato, Anna M. Borghi, Gianluca Baldassarre Opublikowane w: Scientific Reports, Issue 10/1, 2020, ISSN 2045-2322 Wydawca: Nature Publishing Group DOI: 10.1038/s41598-020-78252-y Evolutionary training and abstraction yields algorithmic generalization of neural computers Autorzy: Daniel Tanneberg, Elmar Rueckert, Jan Peters Opublikowane w: Nature Machine Intelligence, Issue 2/12, 2020, Page(s) 753-763, ISSN 2522-5839 Wydawca: Springer DOI: 10.1038/s42256-020-00255-1 Non-peer reviewed articles (1) SKID RAW: Skill Discovery From Raw Trajectories Autorzy: Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters Opublikowane w: IEEE Robotics and Automation Letters, Issue 6/3, 2021, Page(s) 4696-4703, ISSN 2377-3766 Wydawca: arXiv DOI: 10.1109/lra.2021.3068891 Conference proceedings (14) Autonomous Reinforcement Learning of Multiple Interrelated Tasks Autorzy: Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni Opublikowane w: 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019, Page(s) 221-227, ISBN 978-1-5386-8128-2 Wydawca: IEEE DOI: 10.1109/devlrn.2019.8850713 Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm * Autorzy: Zinan Liu, Arne Hitzmann, Shuhei Ikemoto, Svenja Stark, Jan Peters, Koh Hosoda Opublikowane w: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Page(s) 6594-6601, ISBN 978-1-7281-4004-9 Wydawca: IEEE DOI: 10.1109/iros40897.2019.8967791 Intrinsically Motivated Discovered Outcomes Boost User’s Goals Achievement in a Humanoid Robot Autorzy: Kristsana Seepanomwan, Vieri Giuliano Santucci, Gianluca, Baldassarre Opublikowane w: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on, 2017 Wydawca: IEEE Workshop On Ethical Issues of Open Ended-Learning in Autonomous Robots Autorzy: Daniele Caligiore, Vieri Giuliano Santucci, Gianluca Baldassarre Opublikowane w: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on, 2017 Wydawca: IEEE Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System Autorzy: Lukas Klimmasch, Alexander Lelais, Alexander Lichtenstein, Bertram Emil Shi, Jochen Triesch Opublikowane w: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on, 2017 Wydawca: IEEE Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Autorzy: Tanneberg D., Peters J., Rueckert E. Opublikowane w: Proceedings of Machine Learning Research: Conference on Robot Learning (CoRL), 2017 Wydawca: PMLR Learning Inverse Dynamics Models in O(n) time with LSTM networks Autorzy: Rueckert E., Nakatenus M., Tosatto S., Peters, J Opublikowane w: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017 Wydawca: IEEE Efficient Online Adaptation with Stochastic Recurrent Neural Networks Autorzy: Tanneberg D., Peters J., Rueckert E. Opublikowane w: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017 Wydawca: IEEE A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Autorzy: Stark S., Peters J., Rueckert E. Opublikowane w: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017 Wydawca: IEEE Simulation of the underactuated Sake Robotics Gripper in V-REP Autorzy: Thiem S., Stark S., Tanneberg D., Peters J., Rueckert E. Opublikowane w: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017 Wydawca: IEEE Development of reaching to the body in early infancy: From experiments to robotic models Autorzy: Matej Hoffmann, Lisa K. Chinn, Eszter Somogyi, Tobias Heed, Jacqueline Fagard, Jeffrey J. Lockman, J. Kevin O'Regan Opublikowane w: 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017, Page(s) 112-119, ISBN 978-1-5386-3715-9 Wydawca: IEEE DOI: 10.1109/devlrn.2017.8329795 Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments Autorzy: G. Baldassarre, F. Mannella, V.G. Santucci,E. Somogyi, L. Jacquey, M. Hamilton, J.K. O’Regan Opublikowane w: Proceedings of The 8th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob2018), 2018 Wydawca: IEEE Learning to Categorize Bug Reports with LSTM Networks Autorzy: K.D. Gondaliya, J. Peters, E. Rueckert Opublikowane w: International Conference on Advances in System Testing and Validation Lifecycle, 2018 Wydawca: IARIA XPS Press Experience Reuse with Probabilistic Movement Primitives Autorzy: Svenja Stark, Jan Peters, Elmar Rueckert Opublikowane w: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Page(s) 1210-1217, ISBN 978-1-7281-4004-9 Wydawca: IEEE DOI: 10.1109/iros40897.2019.8968545 Thesis dissertations (3) La sensibilité aux contingences sensorimotrices chez le bébé et son rôle dans le développement du savoir-faire corporel. Approche croisée en robotique et psychologie du développement Autorzy: Jacquey, Lisa Opublikowane w: 2019 Wydawca: Université de Paris Understand-Compute-Adapt: Neural Networks for Intelligent Agents Autorzy: Tanneberg, Daniel Opublikowane w: Issue 4, 2020 Wydawca: Technische Universität Darmstadt, DOI: 10.25534/tuprints-00017234 Développement de la sensibilité aux contingences sensorimotrices lors des 6 premiers mois de vie Autorzy: Fremond Claire Opublikowane w: 2020 Wydawca: Master of Science and Technology, Sorbonne University Book chapters (4) An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions Autorzy: Lukas Klimmasch, Johann Schneider, Alexander Lelais, Bertram E. Shi, Jochen Triesch Opublikowane w: From Animals to Animats 15 - 15th International Conference on Simulation of Adaptive Behavior, SAB 2018, Frankfurt/Main, Germany, August 14-17, 2018, Proceedings, Issue 10994, 2018, Page(s) 66-77, ISBN 978-3-319-97627-3 Wydawca: Springer International Publishing DOI: 10.1007/978-3-319-97628-0_6 The development of reaching and grasping: towards an integrated framework based on a critical review of computational and robotic models Autorzy: D. Caligiore, G. Baldassarre Opublikowane w: 2019 Wydawca: Taylor and Francis Group Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders Autorzy: Markus Roland Ernst, Jochen Triesch, Thomas Burwick Opublikowane w: Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III, Issue 11729, 2019, Page(s) 294-305, ISBN 978-3-030-30507-9 Wydawca: Springer International Publishing DOI: 10.1007/978-3-030-30508-6_24 Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding Autorzy: Zhetuo Zhao, Jochen Triesch, Bertram E. Shi Opublikowane w: From Animals to Animats 15 - 15th International Conference on Simulation of Adaptive Behavior, SAB 2018, Frankfurt/Main, Germany, August 14-17, 2018, Proceedings, Issue 10994, 2018, Page(s) 78-89, ISBN 978-3-319-97627-3 Wydawca: Springer International Publishing DOI: 10.1007/978-3-319-97628-0_7 Wyszukiwanie danych OpenAIRE... Podczas wyszukiwania danych OpenAIRE wystąpił błąd Brak wyników