Robot Multimodal Object Perception and Recognition: Synthetic Maturation of Sensorimotor Learning in Embodied Systems

Autor: Raphael Braud, Qiang Shen, Alexandros Giagkos, Mark Lee, Patricia Shaw

Publikováno v: IEEE Transactions on Cognitive and Developmental Systems. 13:416-428

It is known that during early infancy, humans experience many physical and cognitive changes that shape their learning and refine their understanding of objects in the world. With the extended arm being one of the very first objects they familiarize,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9dbe4f06f7c8d0c091960699fe8839
https://doi.org/10.1109/tcds.2020.2965985

Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation

Autor: Raphael Braud, Sylvain Mahé, Mathias Quoy, Philippe Gaussier, Alexandre Pitti

Publikováno v: Neural Networks
Neural Networks, Elsevier, 2014, 62, pp.00204-4. ⟨10.1016/j.neunet.2014.08.009⟩

The so-called self-other correspondence problem in imitation demands to find the transformation that maps the motor dynamics of one partner to our own. This requires a general purpose sensorimotor mechanism that transforms an external fixation-point

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56cb0b7146ca7556d07cbb0d5907c53e
https://doi.org/10.1016/j.neunet.2014.08.009

Dynamic sensorimotor model for open-ended acquisition of tool-use

Autor: Raphael Braud, Philippe Gaussier, Alexandre Pitti

Publikováno v: ICDL-EPIROB

The learning of sensorimotor primitives in an open-ended manner is important to achieve all the possible tasks a robot can do, even those never experienced before. In this short paper, we propose a neural architecture called Dynamic Sensorimotor Mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fcf98202c7e78585001dd92b6d033102
https://doi.org/10.1109/devlrn.2016.7846834

Simulating the Emergence of Early Physical and Social Interactions : A Developmental Route through Low Level Visuomotor Learning

Autor: Philippe Gaussier, Raphael Braud, Ali Karaouzene, Ghiles Mostafaoui

Publikováno v: From Animals to Animats 13 ISBN: 9783319088631
SAB
From Animals to Animats 1313th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings
13th International Conference on Simulation of Adaptive Behavior "From Animals to Animats 13"
13th International Conference on Simulation of Adaptive Behavior "From Animals to Animats 13", Jul 2014, Castellón, Spain. pp.154-165, ⟨10.1007/978-3-319-08864-8_15⟩

International audience; In this paper, we propose a bio-inspired and developmental neural model allowing a robot, after learning its own dynamics during a babbling phase, to gain imitative and shape recognition abilities leading to early attempts for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17c3178f8b0c52e234d6741dff5894f6
https://doi.org/10.1007/978-3-319-08864-8_15

Behavior adaptation from negative social feedback based on goal awareness

Autor: Philippe Gaussier, Antoine de Rengerve, Raphael Braud, Pierre Andry

Publikováno v: ICDL-EPIROB
2012 IEEE International Conference on Development and Learning (ICDL)-Epigenetics and Robotics (Epirob)
2012 IEEE International Conference on Development and Learning (ICDL)-Epigenetics and Robotics (Epirob), Nov 2012, San Diego, CA, USA, United States. pp.1--6

International audience; Robots are expected to perform actions in a human environment where they will have to learn both how and when to act. Social human robot interaction could provide the robot with external feedback to guide them. In this paper,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::540e2723b62515b8b8b210658d19294c
https://hal.science/hal-00751285