Výsledky vyhledávání - "Pierre Andry"

Akademický článek

Deep Reinforcement Learning for Hybrid Energy Storage Systems: Balancing Lead and Hydrogen Storage

Autor: Louis Desportes, Inbar Fijalkow, Pierre Andry

Publikováno v: Energies, Vol 14, Iss 15, p 4706 (2021)

We address the control of a hybrid energy storage system composed of a lead battery and hydrogen storage. Powered by photovoltaic panels, it feeds a partially islanded building. We aim to minimize building carbon emissions over a long-term period whi

Externí odkaz: https://doaj.org/article/b66dac44438048e5b8727014bae4b71a

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Short-Term Temperature Forecasting on a Several Hours Horizon

Autor: Louis Desportes, Jérôme David, Inbar Fijalkow, Pierre Andry

Publikováno v: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series ISBN: 9783030304898
ICANN (4)
ICANN 2019
ICANN 2019, Sep 2019, Munich, Germany. ⟨10.1007/978-3-030-30490-4_42⟩

International audience; Outside temperature is an important quantity in building control. It enables improvement in inhabitant energy consumption forecast or heating requirement prediction. However most previous works on outside temperature forecasti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d0176b6a7670579f41854626c3eeb4
https://doi.org/10.1007/978-3-030-30490-4_42

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A Robot Learns the Facial Expressions Recognition and Face/Non-face Discrimination Through an Imitation Game

Autor: Sofiane Boucenna, Philippe Gaussier, L. Hafemeister, Pierre Andry

Publikováno v: International Journal of Social Robotics
International Journal of Social Robotics, Springer, 2014, 6 (4), pp.633-652. ⟨10.1007/s12369-014-0245-z⟩

In this paper, we show that a robotic system can learn online to recognize facial expressions without having a teaching signal associating a facial expression with a given abstract label (e.g., ‘sadness’, ‘happiness’). Moreover, we show that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6f3df15160509ca0bc508178e835d89
https://doi.org/10.1007/s12369-014-0245-z

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« Mirroring » : A solution for the development of cognitive skills

Autor: Sofiane Boucenna, Pierre Andry, Philippe Gaussier

Publikováno v: Intellectica-La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo)
Intellectica-La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 2016, NOUVELLES APPROCHES EN ROBOTIQUE COGNITIVE, 1

“Mirroring” : A Solution for the Development of Cognitive Skills. In this work, we study the “ mirroring” in the early stages of learning in the context of autonomous system. We propose three experiences that highlight how imitation, facial e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdc527de3f9d4e86a5020dbee291433f
https://www.persee.fr/doc/intel_0769-4113_2016_num_65_1_1791

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Learning Invariant Sensorimotor Behaviors: A Developmental Approach to Imitation Mechanisms

Autor: Béat Hirsbrunner, Philippe Gaussier, Pierre Andry, Jacqueline Nadel

Publikováno v: Adaptive Behavior. 12:117-140

This paper examines the interest of a developmental approach applied to the design of autonomous robots and the understanding of adaptive behaviors, such as imitation. The proposed model is a neural network architecture that learns and uses associati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5323903a2a84097ce825ada3e05cc1d
https://doi.org/10.1177/105971230401200203

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Learning and communication via imitation: an autonomous robot perspective

Autor: Sorin Moga, Philippe Gaussier, J.P. Banquet, Pierre Andry, J. Nadel

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 31:431-442

This paper proposes a neural network architecture designed to exhibit learning and communication capabilities via imitation. Our architecture allows a "protoimitation" behavior using the "perception ambiguity" inherent in real environments. In the pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::574cd5730d60c26b63192787428f0a75
https://doi.org/10.1109/3468.952717

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Reading motor intention through mental imagery

Autor: Philippe Gaussier, Daniel Lewkowicz, David Bailly, Yvonne Delevoye-Turrell, Pierre Andry

Publikováno v: Adaptive Behavior
Adaptive Behavior, SAGE Publications, 2013, pp.1-13. ⟨10.1177/1059712313501347⟩

Motor imagery is defined as a dynamic state during which the representation of a given motor act is internally rehearsed without overt motor output. Some evidence in experimental psychology has suggested that imagery ability is crucial for the correc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea46bf55865aa2c3d2b9aa59dd928d89
http://hdl.handle.net/20.500.12210/58850

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Online learning and control of attraction basins for the development of sensorimotor control strategies

Autor: Antoine de Rengerve, Pierre Andry, Philippe Gaussier

Publikováno v: Biological Cybernetics (Modeling)
Biological Cybernetics (Modeling), Springer Verlag, 2015, 109 (2), pp.255-274. ⟨10.1007/s00422-014-0640-4⟩

International audience; Imitation and learning from human require an adequate sensorimotor controller to learn and to encode the behaviors. We present the Dynamic Muscle PerAc (DM-PerAc) model to control a multi DOF robot arm. In the original Percept

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47473082f3d6b74403f95493c993b611
https://pubmed.ncbi.nlm.nih.gov/25576394

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Building Specific Contexts for On-line Learning of Dynamical Tasks through Non-verbal Interaction

Autor: Souheïl Hanoune, Philippe Gaussier, Mathias Quoy, Pierre Andry, Antoine de Rengerve

Publikováno v: ICDL-Epirob 2013
ICDL-Epirob 2013, Oct 2013, Osaka, Japan. pp.6
ICDL-EPIROB

International audience; Trajectories can be encoded as attraction basin resulting from recruited associations between visually based localization and orientations to follow (low level behaviors). Navigation to different places according to some other

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8994ae51fe88d85324a12956e36a2495
https://hal.science/hal-01063958

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Learning anticipatory motor control

Autor: David Bailly, Pierre Andry, Philippe Gaussier

Publikováno v: ICDL-EPIROB

Recent psychological studies raise the issue of understanding anticipatory motor control and the place of social intention as a possible component of motor intentions [1], [2]. Motor anticipation should play an important role for a robot involved in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f81aa00a8a7a475972df4c936e5b21b
https://doi.org/10.1109/devlrn.2012.6400850

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