GOAL-Robots SIGNED
Goal-based Open-ended Autonomous Learning Robots
Total Cost €
0EC-Contrib. €
0Partnership
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Explore the words cloud of the GOAL-Robots project. It provides you a very rough idea of what is the project "GOAL-Robots" about.
Project "GOAL-Robots" data sheet
The following table provides information about the project.
| Coordinator |
CONSIGLIO NAZIONALE DELLE RICERCHE
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Project website | http://www.goal-robots.eu |
| Total cost | 3˙481˙875 € |
| EC max contribution | 3˙481˙874 € (100%) |
| Programme |
1. H2020-EU.1.2.1. (FET Open) |
| Code Call | H2020-FETOPEN-2014-2015-RIA |
| Funding Scheme | RIA |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-11-01 to 2020-10-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | CONSIGLIO NAZIONALE DELLE RICERCHE | IT (ROMA) | coordinator | 1˙278˙708.00 |
| 2 | TECHNISCHE UNIVERSITAT DARMSTADT | DE (DARMSTADT) | participant | 938˙125.00 |
| 3 | STIFTUNG FRANKFURT INSTITUTE FOR ADVANCED STUDIES | DE (FRANKFURT AM MAIN) | participant | 709˙875.00 |
| 4 | UNIVERSITE DE PARIS | FR (PARIS) | participant | 555˙166.00 |
| 5 | UNIVERSITE PARIS DESCARTES | FR (PARIS CEDEX 06) | participant | 0.00 |
Map
Project objective
This project aims to develop a new paradigm to build open-ended learning robots called `Goal-based Open-ended Autonomous Learning' (GOAL). GOAL rests upon two key insights. First, to exhibit an autonomous open-ended learning process, robots should be able to self-generate goals, and hence tasks to practice. Second, new learning algorithms can leverage self-generated goals to dramatically accelerate skill learning. The new paradigm will allow robots to acquire a large repertoire of flexible skills in conditions unforeseeable at design time with little human intervention, and then to exploit these skills to efficiently solve new user-defined tasks with no/little additional learning. This innovation will be essential in the design of future service robots addressing pressing societal needs. The project will develop the GOAL paradigm by pursuing three main objectives: (1) advance our understanding of how goals are formed and underlie skill learning in children; (2) develop innovative computational architectures and algorithms supporting (2a) the self-generation of useful goals based on user/task independent mechanisms such as intrinsic motivations, and (2b) the use of such goals to efficiently and autonomously build large repertoires of skills; (3) demonstrate the potential of GOAL with a series of increasingly challenging demonstrators in which robots will autonomously develop complex skills and use them to solve difficult challenges in real-life scenarios. The interdisciplinary project consortium is formed by leading international roboticists, computational modelers, and developmental psychologists working with complementary approaches. This will allow the project to greatly advance our understanding of the fundamental principles of open-ended learning and to produce a breakthrough in the field of autonomous robotics by producing for the first time robots that can autonomously accumulate complex skills and knowledge in a truly open-ended way.
Deliverables
| Goal-based skill learning: first results | Documents, reports | 2020-02-25 14:47:52 |
| Scientific publications and conferences | Documents, reports | 2020-02-25 14:47:47 |
| GOAL1 Demonstrator | Demonstrators, pilots, prototypes | 2020-02-25 14:47:48 |
| GOAL in infants and its models: first results | Documents, reports | 2020-02-25 14:47:47 |
| First ethical implications workshop | Other | 2020-02-25 14:47:47 |
| Self goal-generation: first results | Documents, reports | 2020-02-25 14:47:48 |
| Action Check Meeting 1 | Documents, reports | 2020-02-25 14:47:47 |
| Science communication | Websites, patent fillings, videos etc. | 2020-02-25 14:47:45 |
| Dissemination and Exploitation Plan: first version | Documents, reports | 2020-02-25 14:47:47 |
| Plan for Open Data Pilot: first version | Open Research Data Pilot | 2020-02-25 14:47:45 |
| Project web-site and logo | Websites, patent fillings, videos etc. | 2020-02-25 14:47:45 |
| First open-ended learning competition | Other | 2020-02-25 14:47:51 |
| Industry fair: first participation | Other | 2020-02-25 14:47:52 |
| Action Check Meeting 2 | Documents, reports | 2020-02-25 14:47:52 |
| Plan for Open Data Pilot: second version | Open Research Data Pilot | 2020-02-25 14:47:52 |
| GOAL2 Demonstrator | Demonstrators, pilots, prototypes | 2020-02-25 14:47:52 |
| International Summer School | Other | 2020-02-25 14:47:53 |
| Dissemination and Exploitation Plan: second version | Documents, reports | 2020-02-25 14:47:52 |
| Professional video on GOAL2 Demo | Websites, patent fillings, videos etc. | 2020-02-25 14:47:52 |
Take a look to the deliverables list in detail: detailed list of GOAL-Robots deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
Lakshitha P. Wijesinghe, Jochen Triesch, Bertram E. Shi Robot End Effector Tracking Using Predictive Multisensory Integration published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2018.00066 |
Frontiers in Neurorobotics 12 | 2020-02-25 |
| 2019 |
Alexander Lelais, Jonas Mahn, Vikram Narayan, Chong Zhang, Bertram E. Shi, Jochen Triesch Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2019.00049 |
Frontiers in Neurorobotics 13 | 2020-02-25 |
| 2019 |
Ernst, Markus Roland and Triesch, Jochen and Burwick, Thomas Recurrent Connectivity Aids Recognition of Partly Occluded Objects published pages: , ISSN: , DOI: |
arXiv | 2020-02-25 |
| 2018 |
A. Šošić, E. Rueckert, J. Peters, A. M. Zoubir, H. Koeppl Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling published pages: , ISSN: 1532-4435, DOI: |
The Journal of Machine Learning Research | 2020-02-25 |
| 2019 |
Santucci V. G., Baldassarre G. and Cartoni E. Autonomous Reinforcement Learning of Multiple Interrelated Tasks published pages: , ISSN: , DOI: |
arXiv | 2020-02-25 |
| 2019 |
V.G. Santucci, E. Cartoni, B. Castro da Silva, G. Baldassarre Autonomous Open-Ended Learning of Interdependent Tasks published pages: , ISSN: , DOI: |
2020-02-25 | |
| 2018 |
K.D. Gondaliya, J. Peters, E. Rueckert Learning to Categorize Bug Reports with LSTM Networks published pages: , ISSN: , DOI: |
International Conference on Advances in System Testing and Validation Lifecycle | 2020-02-25 |
| 2018 |
E. Cartoni, G. Baldassarre Autonomous discovery of the goal space to learn a parameterized skill published pages: , ISSN: , DOI: |
2020-02-25 | |
| 2019 |
de La Bourdonnaye , François; Teulière , Céline; Triesch , Jochen; Chateau , Thierry Learning to touch objects through stage-wise deep reinforcement learning published pages: , ISSN: , DOI: |
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 1 | 2020-02-25 |
| 2019 |
Daniele Caligiore, Magda Mustile, Alissa Fineschi, Laura Romano, Fabrizio Piras, Francesca Assogna, Francesco E. Pontieri, Gianfranco Spalletta, Gianluca Baldassarre Action Observation With Dual Task for Improving Cognitive Abilities in Parkinson’s Disease: A Pilot Study published pages: , ISSN: 1662-5137, DOI: 10.3389/fnsys.2019.00007 |
Frontiers in Systems Neuroscience 13 | 2020-02-25 |
| 2017 |
Daniele Caligiore, Francesco Mannella, Michael A. Arbib, Gianluca Baldassarre Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome published pages: e1005395, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005395 |
PLOS Computational Biology 13/3 | 2020-02-25 |
| 2019 |
Paolo Tommasino, Daniele Caligiore, Marco Mirolli, Gianluca Baldassarre A Reinforcement Learning Architecture that Transfers Knowledge between Skills when Solving Multiple Tasks published pages: 1-1, ISSN: 2379-8920, DOI: 10.1109/tcds.2016.2607018 |
IEEE Transactions on Cognitive and Developmental Systems | 2020-02-25 |
| 2019 |
D. Caligiore, G. Baldassarre The development of reaching and grasping: towards an integrated framework based on a critical review of computational and robotic models published pages: , ISSN: , DOI: |
2020-02-25 | |
| 2018 |
François de La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau Stage-Wise Learning of Reaching Using Little Prior Knowledge published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2018.00110 |
Frontiers in Robotics and AI 5 | 2020-02-25 |
| 2018 |
Jaqueline Fagard, Rana Esseily, Lisa Jacquey, Kevin O’Regan, Eszter Somogyi Fetal Origin of Sensorimotor Behavior published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2018.00023 |
Frontiers in Neurorobotics 12 | 2020-02-25 |
| 2019 |
Daniel Tanneberg, Jan Peters, Elmar Rueckert Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks published pages: 67-80, ISSN: 0893-6080, DOI: 10.1016/j.neunet.2018.10.005 |
Neural Networks 109 | 2020-02-25 |
| 2019 |
Valerio Sperati, Beste Özcan, Laura Romano, Simone Scaffaro, Tania Moretta, Giada Turturo, Maria Nicoletta Aliberti, Vincenzo Guidetti, Gianluca Baldassarre Acceptability of the Transitional Wearable Companion “+me†in Typical Children: A Pilot Study published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2019.00125 |
Frontiers in Psychology 10 | 2020-02-25 |
| 2018 |
G. Baldassarre, F. Mannella, V.G. Santucci,E. Somogyi, L. Jacquey, M. Hamilton, J.K. O’Regan Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments published pages: , ISSN: , DOI: |
Proceedings of The 8th IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob2018) | 2020-02-25 |
| 2018 |
Valerio Sperati, Gianluca Baldassarre Bio-Inspired Model Learning Visual Goals and Attention Skills Through Contingencies and Intrinsic Motivations published pages: 326-344, ISSN: 2379-8920, DOI: 10.1109/tcds.2017.2772908 |
IEEE Transactions on Cognitive and Developmental Systems 10/2 | 2020-02-25 |
| 2017 |
Daniele Caligiore, Magda Mustile, Gianfranco Spalletta, Gianluca Baldassarre Action observation and motor imagery for rehabilitation in Parkinson\'s disease: A systematic review and an integrative hypothesis published pages: 210-222, ISSN: 0149-7634, DOI: 10.1016/j.neubiorev.2016.11.005 |
Neuroscience & Biobehavioral Reviews 72 | 2020-02-25 |
| 2017 |
Tanneberg D., Peters J., Rueckert E. Efficient Online Adaptation with Stochastic Recurrent Neural Networks published pages: , ISSN: , DOI: |
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS) | 2020-02-25 |
| 2017 |
Thiem S., Stark S., Tanneberg D., Peters J., Rueckert E. Simulation of the underactuated Sake Robotics Gripper in V-REP published pages: , ISSN: , DOI: |
Workshop at the International Conference on Humanoid Robots (HUMANOIDS) | 2020-02-25 |
| 2017 |
Stark S., Peters J., Rueckert E. A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries published pages: , ISSN: , DOI: |
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS) | 2020-02-25 |
| 2017 |
Gianluca Baldassarre, Vieri Giuliano Santucci, Emilio Cartoni, Daniele Caligiore The architecture challenge: Future artificial-intelligence systems will require sophisticated architectures, and knowledge of the brain might guide their construction published pages: , ISSN: 0140-525X, DOI: 10.1017/S0140525X17000036 |
Behavioral and Brain Sciences 40 | 2020-02-25 |
| 2017 |
Tanneberg D., Peters J., Rueckert E. Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals published pages: , ISSN: , DOI: |
Proceedings of Machine Learning Research: Conference on Robot Learning (CoRL) | 2020-02-25 |
| 2017 |
Lukas Klimmasch, Alexander Lelais, Alexander Lichtenstein, Bertram Emil Shi, Jochen Triesch Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System published pages: , ISSN: , DOI: |
Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on | 2020-02-25 |
| 2018 |
Mannella, F., Santucci, V.G., Somogyi, E., Jacquey, L., O’Regan, K.J., &
Baldassarre, G. Know your body through intrinsic goals published pages: , ISSN: 1662-5218, DOI: |
Frontiers in Neurorobotics | 2020-02-25 |
| 2017 |
Kristsana Seepanomwan, Vieri Giuliano Santucci, Gianluca, Baldassarre Intrinsically Motivated Discovered Outcomes Boost User’s Goals Achievement in a Humanoid Robot published pages: , ISSN: , DOI: |
Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on | 2020-02-25 |
| 2017 |
Eszter Somogyi, Lisa Jacquey, Tobias Heed, Matej Hoffmann, Jeffrey J. Lockman, Lionel Granjon, Jacqueline Fagard, J. Kevin O\'Regan Which limb is it? Responses to vibrotactile stimulation in early infancy published pages: , ISSN: 0261-510X, DOI: 10.1111/bjdp.12224 |
British Journal of Developmental Psychology | 2020-02-25 |
| 2017 |
Daniele Caligiore, Vieri Giuliano Santucci, Gianluca Baldassarre Workshop On Ethical Issues of Open Ended-Learning in Autonomous Robots published pages: , ISSN: , DOI: |
Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on | 2020-02-25 |
| 2017 |
Rueckert E., Nakatenus M., Tosatto S., Peters, J Learning Inverse Dynamics Models in O(n) time with LSTM networks published pages: , ISSN: , DOI: |
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS) | 2020-02-25 |
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