Risultati finali 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. Pubblicazioni Other (24) Intrinsic motivations and open-ended learning Autori: Baldassarre, Gianluca Pubblicato in: Issue 13, 2019 Editore: arXiv Recurrent Connectivity Aids Recognition of Partly Occluded Objects Autori: Ernst, Markus Roland; Triesch, Jochen; Burwick, Thomas Pubblicato in: Issue 1, 2019 Editore: arXiv Learning High-Level Planning Symbols from Intrinsically Motivated Experience Autori: Oddi, Angelo; Rasconi, Riccardo; Cartoni, Emilio; Sartor, Gabriele; Baldassarre, Gianluca; Santucci, Vieri Giuliano Pubblicato in: Issue 3, 2019 Editore: arXiv Autonomous learning of multiple, context-dependent tasks Autori: Santucci, Vieri Giuliano; Montella, Davide; da Silva, Bruno Castro; Baldassarre, Gianluca Pubblicato in: Issue 1, 2020 Editore: arXiv Autonomous Open-Ended Learning of Interdependent Tasks Autori: Santucci, Vieri Giuliano; Cartoni, Emilio; da Silva, Bruno Castro; Baldassarre, Gianluca Pubblicato in: Issue 2, 2019 Editore: arXiv ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows Autori: Urain, Julen; Ginesi, Michelle; Tateo, Davide; Peters, Jan Pubblicato in: Issue 12, 2020 Editore: arXiv An open-ended learning architecture to face the REAL 2020 simulated robot competition Autori: Cartoni, Emilio; Montella, Davide; Triesch, Jochen; Baldassarre, Gianluca Pubblicato in: Issue 1, 2020 Editore: arXiv The Development of Active Binocular Vision under Normal and Alternate Rearing Conditions Autori: Lukas Klimmasch; Johann Schneider; Alexander Lelais; Bertram E. Shi; Jochen Triesch Pubblicato in: Issue 1, 2020 Editore: BioRxiv DOI: 10.1101/2020.02.20.957449 Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture Autori: Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan Pubblicato in: Issue 13, 2020 Editore: arXiv Supervised Topological Maps Autori: Mannella, Francesco Pubblicato in: Issue 15, 2020 Editore: arXiv Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots Autori: Lisa Jacquey; Gianluca Baldassarre; Vieri Giuliano Santucci; J. Kevin O'Regan Pubblicato in: https://hal.archives-ouvertes.fr/hal-03130944, Issue 1, 2019 Editore: PsyArXiv DOI: 10.31234/osf.io/sr52x Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders Autori: Ernst, Markus Roland; Triesch, Jochen; Burwick, Thomas Pubblicato in: Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, Issue 1, 2019 Editore: arXiv Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk Autori: Watson, Joe; Peters, Jan Pubblicato in: Issue 1, 2021 Editore: arXiv Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints Autori: Del Verme, Manuel; da Silva, Bruno Castro; Baldassarre, Gianluca Pubblicato in: Issue 9, 2020 Editore: arXiv Autonomous discovery of the goal space to learn a parameterized skill Autori: E. Cartoni, G. Baldassarre Pubblicato in: 2018 Editore: arXiv Autonomous Open-Ended Learning of Interdependent Tasks Autori: V.G. Santucci, E. Cartoni, B. Castro da Silva, G. Baldassarre Pubblicato in: 2019 Editore: arXiv Learning to touch objects through stage-wise deep reinforcement learning Autori: de La Bourdonnaye , François; Teulière , Céline; Triesch , Jochen; Chateau , Thierry Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Issue 1, 2019 Editore: IEEE Autonomous Reinforcement Learning of Multiple Interrelated Tasks Autori: Santucci V. G., Baldassarre G. and Cartoni E. Pubblicato in: arXiv, 2019 Editore: arXiv Recurrent Connectivity Aids Recognition of Partly Occluded Objects Autori: Ernst, Markus Roland and Triesch, Jochen and Burwick, Thomas Pubblicato in: arXiv, 2019 Editore: Cornell University Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders Autori: Wilmot, Charles; Shi, Bertram E.; Triesch, Jochen Pubblicato in: Issue 6, 2021 Editore: arXiv Learning walk and trot from the same objective using different types of exploration Autori: Liu, Zinan; Ploeger, Kai; Stark, Svenja; Rueckert, Elmar; Peters, Jan Pubblicato in: Issue 11, 2019 Editore: arXiv Learning Abstract Representations through Lossy Compression of Multi-Modal Signals Autori: Wilmot, Charles; Triesch, Jochen Pubblicato in: Issue 1, 2021 Editore: arXiv Model-Based Quality-Diversity Search for Efficient Robot Learning Autori: Keller, Leon; Tanneberg, Daniel; Stark, Svenja; Peters, Jan Pubblicato in: Issue 13, 2020 Editore: arXiv Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk Autori: Watson, Joe; Peters, Jan Pubblicato in: arXiv, Issue 1, 2021 Editore: arXiv Peer reviewed articles (28) Detection of sensorimotor contingencies in infants before the age of 1 year: A comprehensive review. Autori: Lisa Jacquey, Jacqueline Fagard, Rana Esseily, J. Kevin O'Regan Pubblicato in: Developmental Psychology, Issue 56/7, 2020, Page(s) 1233-1251, ISSN 0012-1649 Editore: American Psychological Association DOI: 10.1037/dev0000916 General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain Autori: Stefano Zappacosta, Francesco Mannella, Marco Mirolli, Gianluca Baldassarre Pubblicato in: PLOS Computational Biology, Issue 14/8, 2018, Page(s) e1006227, ISSN 1553-7358 Editore: Public Library Of Science DOI: 10.1371/journal.pcbi.1006227 Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots Autori: Lisa Jacquey, Gianluca Baldassarre, Vieri Giuliano Santucci, J. Kevin O’Regan Pubblicato in: Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218 Editore: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00098 Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots Autori: Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto, Gianluca Baldassarre Pubblicato in: Frontiers in Neurorobotics, Issue 13, 2020, ISSN 1662-5218 Editore: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00115 Development of body knowledge as measured by arm differentiation in infants: From global to local? Autori: Lisa Jacquey, Sergiu Tcaci Popescu, Judith Vergne, Jacqueline Fagard, Rana Esseily, Kevin O’Regan Pubblicato in: British Journal of Developmental Psychology, Issue 38/1, 2020, Page(s) 108-124, ISSN 0261-510X Editore: Wiley-Blackwell DOI: 10.1111/bjdp.12309 Acceptability of the Transitional Wearable Companion “+me” in Children With Autism Spectrum Disorder: A Comparative Pilot Study Autori: 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 Pubblicato in: Frontiers in Psychology, Issue 11, 2020, ISSN 1664-1078 Editore: 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 Autori: Daniele Caligiore, Magda Mustile, Gianfranco Spalletta, Gianluca Baldassarre Pubblicato in: Neuroscience & Biobehavioral Reviews, Issue 72, 2017, Page(s) 210-222, ISSN 0149-7634 Editore: 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 Autori: Gianluca Baldassarre, Vieri Giuliano Santucci, Emilio Cartoni, Daniele Caligiore Pubblicato in: Behavioral and Brain Sciences, Issue 40, 2017, ISSN 0140-525X Editore: Cambridge University Press DOI: 10.1017/S0140525X17000036 Which limb is it? Responses to vibrotactile stimulation in early infancy Autori: Eszter Somogyi, Lisa Jacquey, Tobias Heed, Matej Hoffmann, Jeffrey J. Lockman, Lionel Granjon, Jacqueline Fagard, J. Kevin O'Regan Pubblicato in: British Journal of Developmental Psychology, 2017, ISSN 0261-510X Editore: Wiley-Blackwell DOI: 10.1111/bjdp.12224 Know Your Body Through Intrinsic Goals Autori: Francesco Mannella, Vieri G. Santucci, Eszter Somogyi, Lisa Jacquey, Kevin J. O'Regan, Gianluca Baldassarre Pubblicato in: Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218 Editore: Frontiers Research Foundation DOI: 10.3389/fnbot.2018.00030 Acceptability of the Transitional Wearable Companion “+me” in Typical Children: A Pilot Study Autori: Valerio Sperati, Beste Özcan, Laura Romano, Simone Scaffaro, Tania Moretta, Giada Turturo, Maria Nicoletta Aliberti, Vincenzo Guidetti, Gianluca Baldassarre Pubblicato in: Frontiers in Psychology, Issue 10, 2019, ISSN 1664-1078 Editore: 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 Autori: Daniele Caligiore, Magda Mustile, Alissa Fineschi, Laura Romano, Fabrizio Piras, Francesca Assogna, Francesco E. Pontieri, Gianfranco Spalletta, Gianluca Baldassarre Pubblicato in: Frontiers in Systems Neuroscience, Issue 13, 2019, ISSN 1662-5137 Editore: Frontiers Research Foundation DOI: 10.3389/fnsys.2019.00007 Bio-Inspired Model Learning Visual Goals and Attention Skills Through Contingencies and Intrinsic Motivations Autori: Valerio Sperati, Gianluca Baldassarre Pubblicato in: IEEE Transactions on Cognitive and Developmental Systems, Issue 10/2, 2018, Page(s) 326-344, ISSN 2379-8920 Editore: IEEE DOI: 10.1109/tcds.2017.2772908 Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome Autori: Daniele Caligiore, Francesco Mannella, Michael A. Arbib, Gianluca Baldassarre Pubblicato in: PLOS Computational Biology, Issue 13/3, 2017, Page(s) e1005395, ISSN 1553-7358 Editore: Public Library of Science DOI: 10.1371/journal.pcbi.1005395 Fetal Origin of Sensorimotor Behavior Autori: Jaqueline Fagard, Rana Esseily, Lisa Jacquey, Kevin O’Regan, Eszter Somogyi Pubblicato in: Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218 Editore: Frontiers Research Foundation DOI: 10.3389/fnbot.2018.00023 Stage-Wise Learning of Reaching Using Little Prior Knowledge Autori: François de La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau Pubblicato in: Frontiers in Robotics and AI, Issue 5, 2018, ISSN 2296-9144 Editore: Frontiers DOI: 10.3389/frobt.2018.00110 Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks Autori: Daniel Tanneberg, Jan Peters, Elmar Rueckert Pubblicato in: Neural Networks, Issue 109, 2019, Page(s) 67-80, ISSN 0893-6080 Editore: Pergamon Press Ltd. DOI: 10.1016/j.neunet.2018.10.005 A Reinforcement Learning Architecture that Transfers Knowledge between Skills when Solving Multiple Tasks Autori: Paolo Tommasino, Daniele Caligiore, Marco Mirolli, Gianluca Baldassarre Pubblicato in: IEEE Transactions on Cognitive and Developmental Systems, 2019, Page(s) 1-1, ISSN 2379-8920 Editore: IEEE DOI: 10.1109/tcds.2016.2607018 Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling Autori: A. Šošić, E. Rueckert, J. Peters, A. M. Zoubir, H. Koeppl Pubblicato in: The Journal of Machine Learning Research, 2018, ISSN 1532-4435 Editore: MIT Press Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding Autori: Alexander Lelais, Jonas Mahn, Vikram Narayan, Chong Zhang, Bertram E. Shi, Jochen Triesch Pubblicato in: Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218 Editore: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00049 Robot End Effector Tracking Using Predictive Multisensory Integration Autori: Lakshitha P. Wijesinghe, Jochen Triesch, Bertram E. Shi Pubblicato in: Frontiers in Neurorobotics, Issue 12, 2018, ISSN 1662-5218 Editore: 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 Autori: Gianluca Baldassarre, William Lord, Giovanni Granato, Vieri Giuliano Santucci Pubblicato in: Frontiers in Neurorobotics, Issue 13, 2019, ISSN 1662-5218 Editore: Frontiers Research Foundation DOI: 10.3389/fnbot.2019.00045 Different Dopaminergic Dysfunctions Underlying Parkinsonian Akinesia and Tremor Autori: Daniele Caligiore, Francesco Mannella, Gianluca Baldassarre Pubblicato in: Frontiers in Neuroscience, Issue 13, 2019, ISSN 1662-453X Editore: Frontiers DOI: 10.3389/fnins.2019.00550 A generative spiking neural-network model of goal-directed behaviour and one-step planning Autori: Ruggero Basanisi, Andrea Brovelli, Emilio Cartoni, Gianluca Baldassarre Pubblicato in: PLOS Computational Biology, Issue 16/12, 2020, Page(s) e1007579, ISSN 1553-7358 Editore: 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 Autori: Sergiu Tcaci Popescu, Alice Dauphin, Judith Vergne, J. Kevin O’Regan Pubblicato in: Frontiers in Psychology, Issue 12, 2021, ISSN 1664-1078 Editore: Frontiers Research Foundation DOI: 10.3389/fpsyg.2021.610002 Développement du savoir-faire corporel durant la première année de vie du bébé Autori: Lisa Jacquey, Jacqueline Fagard, Kevin O’Regan, Rana Esseily Pubblicato in: Enfance, Issue N°2/2, 2020, Page(s) 175, ISSN 0013-7545 Editore: Presses Universitaires de France DOI: 10.3917/enf2.202.0175 A computational model of language functions in flexible goal-directed behaviour Autori: Giovanni Granato, Anna M. Borghi, Gianluca Baldassarre Pubblicato in: Scientific Reports, Issue 10/1, 2020, ISSN 2045-2322 Editore: Nature Publishing Group DOI: 10.1038/s41598-020-78252-y Evolutionary training and abstraction yields algorithmic generalization of neural computers Autori: Daniel Tanneberg, Elmar Rueckert, Jan Peters Pubblicato in: Nature Machine Intelligence, Issue 2/12, 2020, Page(s) 753-763, ISSN 2522-5839 Editore: Springer DOI: 10.1038/s42256-020-00255-1 Non-peer reviewed articles (1) SKID RAW: Skill Discovery From Raw Trajectories Autori: Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters Pubblicato in: IEEE Robotics and Automation Letters, Issue 6/3, 2021, Page(s) 4696-4703, ISSN 2377-3766 Editore: arXiv DOI: 10.1109/lra.2021.3068891 Conference proceedings (14) Autonomous Reinforcement Learning of Multiple Interrelated Tasks Autori: Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni Pubblicato in: 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 Editore: IEEE DOI: 10.1109/devlrn.2019.8850713 Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm * Autori: Zinan Liu, Arne Hitzmann, Shuhei Ikemoto, Svenja Stark, Jan Peters, Koh Hosoda Pubblicato in: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Page(s) 6594-6601, ISBN 978-1-7281-4004-9 Editore: IEEE DOI: 10.1109/iros40897.2019.8967791 Intrinsically Motivated Discovered Outcomes Boost User’s Goals Achievement in a Humanoid Robot Autori: Kristsana Seepanomwan, Vieri Giuliano Santucci, Gianluca, Baldassarre Pubblicato in: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on, 2017 Editore: IEEE Workshop On Ethical Issues of Open Ended-Learning in Autonomous Robots Autori: Daniele Caligiore, Vieri Giuliano Santucci, Gianluca Baldassarre Pubblicato in: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on, 2017 Editore: IEEE Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System Autori: Lukas Klimmasch, Alexander Lelais, Alexander Lichtenstein, Bertram Emil Shi, Jochen Triesch Pubblicato in: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on, 2017 Editore: IEEE Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Autori: Tanneberg D., Peters J., Rueckert E. Pubblicato in: Proceedings of Machine Learning Research: Conference on Robot Learning (CoRL), 2017 Editore: PMLR Learning Inverse Dynamics Models in O(n) time with LSTM networks Autori: Rueckert E., Nakatenus M., Tosatto S., Peters, J Pubblicato in: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017 Editore: IEEE Efficient Online Adaptation with Stochastic Recurrent Neural Networks Autori: Tanneberg D., Peters J., Rueckert E. Pubblicato in: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017 Editore: IEEE A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Autori: Stark S., Peters J., Rueckert E. Pubblicato in: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017 Editore: IEEE Simulation of the underactuated Sake Robotics Gripper in V-REP Autori: Thiem S., Stark S., Tanneberg D., Peters J., Rueckert E. Pubblicato in: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017 Editore: IEEE Development of reaching to the body in early infancy: From experiments to robotic models Autori: Matej Hoffmann, Lisa K. Chinn, Eszter Somogyi, Tobias Heed, Jacqueline Fagard, Jeffrey J. Lockman, J. Kevin O'Regan Pubblicato in: 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 Editore: IEEE DOI: 10.1109/devlrn.2017.8329795 Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments Autori: G. Baldassarre, F. Mannella, V.G. Santucci,E. Somogyi, L. Jacquey, M. Hamilton, J.K. O’Regan Pubblicato in: Proceedings of The 8th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob2018), 2018 Editore: IEEE Learning to Categorize Bug Reports with LSTM Networks Autori: K.D. Gondaliya, J. Peters, E. Rueckert Pubblicato in: International Conference on Advances in System Testing and Validation Lifecycle, 2018 Editore: IARIA XPS Press Experience Reuse with Probabilistic Movement Primitives Autori: Svenja Stark, Jan Peters, Elmar Rueckert Pubblicato in: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, Page(s) 1210-1217, ISBN 978-1-7281-4004-9 Editore: 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 Autori: Jacquey, Lisa Pubblicato in: 2019 Editore: Université de Paris Understand-Compute-Adapt: Neural Networks for Intelligent Agents Autori: Tanneberg, Daniel Pubblicato in: Issue 4, 2020 Editore: Technische Universität Darmstadt, DOI: 10.25534/tuprints-00017234 Développement de la sensibilité aux contingences sensorimotrices lors des 6 premiers mois de vie Autori: Fremond Claire Pubblicato in: 2020 Editore: 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 Autori: Lukas Klimmasch, Johann Schneider, Alexander Lelais, Bertram E. Shi, Jochen Triesch Pubblicato in: 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 Editore: 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 Autori: D. Caligiore, G. Baldassarre Pubblicato in: 2019 Editore: Taylor and Francis Group Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders Autori: Markus Roland Ernst, Jochen Triesch, Thomas Burwick Pubblicato in: 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 Editore: 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 Autori: Zhetuo Zhao, Jochen Triesch, Bertram E. Shi Pubblicato in: 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 Editore: Springer International Publishing DOI: 10.1007/978-3-319-97628-0_7 È in corso la ricerca di dati su OpenAIRE... Si è verificato un errore durante la ricerca dei dati su OpenAIRE Nessun risultato disponibile
