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  • Home DREAM H2020
    with the satisfaction of pre established basic motivations DREAM will enable robots to cope with the complexity of being an information processing entity in domains that are open ended both in terms of space and time It paves the way for a new generation of robots whose existence and purpose goes far beyond the mere execution of dull tasks DREAM stands for Deferred Restructuring of Experience in Autonomous Machines DREAM

    Original URL path: http://www.robotsthatdream.eu/ (2016-04-28)
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  • Project Description DREAM H2020
    as we are To reach the proposed adaptive properties the architecture will rely on alternating between active interaction and passive introspection over past events i e sleep and must satisfy the following realistic and measurable objectives Objective 1 Evolve and decompose new values and motivations in an open ended manner on the basis of a low dimensional set of immutable intrinsic motivations and other self built values Users should be able to guide the evolution of the value system and values should be exchangeable between different robots The discovery of new policies and models enables the robot to associate specific skills as being capable of fulfilling specific motivations which drives the exploration of its own abilities This objective is met when the robot discovers its own talents and capabilities in an open ended manner I can move objects can use human interaction to guide and accelerate this discovery I should move objects there and can use its discovered talents to fulfill externally specified tasks tidy the table Objective 2 Restructure representations and models to understand and organize the dynamics of being in a particular environment This understanding is organized as a set of predictive models and efficient policies which are acquired during experience and then evolved refined and restructured during sleep This objective is met when restructuring enables the robot to understand basic causal relationships such as gravity as studied in Daniel Povinelli s experiments with chimpanzees or more task related relationships different skills are required to manipulate objects of type A and B Objective 3 Consolidate knowledge by committing successful predictive models those that predict environment dynamics well value decompositions those that satisfy lower level motivations and policies those that fulfill values to long term memory This consolidation takes place during sleep This objective is met when robots can

    Original URL path: http://www.robotsthatdream.eu/Project_Description.html (2016-04-28)
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  • Meet the robots DREAM H2020
    of Dynamixel s servomotors and manufactured by CrustCrawler robotics It provides a low cost solution for object manipulation Combined with a camera this robot enables to study the exploration and manipulation of objects with a relatively loose actuator but which provides more degrees of freedom than any other robots in the project The Dynamixel s robotic arm PR2 and Baxter will be used as complementary platforms for validation purposes Learn more about the CrustCrawler robotic arm RaspberryPI powered Thymio 2 Thymio 2 were originally designed at EPFL and mostly targeted for educational use They cheap and reliable and have been extended with an inexpensive but powerful Raspberry PI 2 plus an on board camera and battery These extended Thymios are primarily used for the social learning part of the project Learn more about the thymio 2 Learn more about Raspberry PI Rethink robotics Baxter The Baxter robot manufactured by Rethink Robotics is a relativery cheap robot with two compliant arms which means that it can handle unforeseen interactions notably with humans without damage neither for the robot nor for the object or human it interacts with Baxter PR2 and the Bioloid s robotic arm will be used as complementary platforms

    Original URL path: http://www.robotsthatdream.eu/Robots.html (2016-04-28)
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  • Partners DREAM H2020
    led by the GII is in charge of defining a long term memory structure in the cognitive architecture aimed at managing consolidated knowledge It implies the selection and clustering of knowledge pieces that can be consolidated the restructuring of knowledge in long term memory and its transfer to working memory Regarding the remaining work packages the GII is involved in the model space definition which is highly relevant to achieve a proper design of long term memory Furthermore it collaborates in the collective aspects of the project in order to integrate a more general search space into the cognitive architecture Finally the GII participates in all the integration and demonstration tasks to show the validity of the cognitive architecture Institution http www qmul ac uk Research partner RIM Centre for Intelligent Sensing The QMUL team s speciality is machine learning especially transfer and active learning with applications in computer vision and beyond Within the DREAM project we will focus on the modelling and algorithmic challenges in developing machine learning methods capable of scalable open ended life long learning In particular we have four major technical goals developing re structured models of tasks and domains to support flexible and robust policy and world model transfer building models that are aware enough to operate and transfer in realistic situations where task domain context is hidden developing active strategies for optimal exploration exploitation tradeoff in support of efficient learning and finally developing algorithms for efficient incremental online model learning as required for use by an embodied agent Institution http www armines net https www ensta paristech fr en Research partner http cogrob ensta paristech fr Armines is involved in the DREAM project through the Robotics and Computer Vision team at ENSTA ParisTech Researchers implied in this project are also members of the ENSTA

    Original URL path: http://www.robotsthatdream.eu/Partners.html (2016-04-28)
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  • Publications DREAM H2020
    Networks IJCNN 2015 International Joint Conference on vol no pp 1 8 12 17 July 2015 doi 10 1109 IJCNN 2015 7280807 Heinerman J Drupsteen D Eiben A E Three fold Adaptivity in Groups of Robots The Effect of Social Learning Proceedings of the 17th annual conference on Genetic and evolutionary computation 2015 doi 10 1145 2739480 2754743 Link to PDF Heinerman J Rango M Eiben A E Evolution Individual Learning and Social Learning in a Swarm of Real Robots In IEEE International Conference on Evolvable Systems ICES to appear in 2015 Bernard A André J B Bredeche N Evolution of Cooperation in Evolutionary Robotics The Tradeoff Between Evolvability and Efficiency To be published in the proceedings of the European Conference on Artificial Life 2015 8 pages Link to PDF Zhou Y Fenton N Hospedales T M Neil M Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence UAI 2015 Link to PDF Stulp F Sigaud S Many Regression Algorithms One Unified Model A Review Neural Networks Volume 69 2015 Link to PDF Palminteri S Khamassi M Joffily M Coricelli G Contextual modulation of value signals in reward and punishment learning Nature Communications 6 8096 2015 Link Legoff L and Maestre C and Doncieux S 2015 Visual saliency based babbling of unknown dynamic environments Proceedings of the workshop Learning Object Affordances IROS 2015 Link to PDF Ecarlat P and Cully A and Maestre C and Doncieux S 2015 Learning a high diversity of object manipulations though an evolutionary based babbling Proceedings of the workshop Learning Object Affordances IROS 2015 Link to PDF Maestre C and Cully A and Gonzales C and Doncieux S 2015 Bootstrapping interactions with objects from raw sensorimotor data a Novelty Search based approach IEEE International

    Original URL path: http://www.robotsthatdream.eu/Publications.html (2016-04-28)
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  • Contact DREAM H2020
    Université Pierre et Marie Curie Paris 6 Institut des Systèmes Intelligents et de Robotique ISIR Pyramide Tour 55 Boîte courrier 173 4 Place Jussieu 75252 PARIS cedex 05 France This project has received funding from the European Union s Horizon

    Original URL path: http://www.robotsthatdream.eu/Contact.html (2016-04-28)
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