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6. ICDL-EPIROB 2016: Cergy-Pontoise, France
- 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2016, Cergy-Pontoise, France, September 19-22, 2016. IEEE 2016, ISBN 978-1-5090-5069-7
- Pablo Lanillos
, Emmanuel C. Dean-Leon
Multisensory object discovery via self-detection and artificial attention. 1-6 - Peter J. Zeno:
Using an FPGA to emulate grid cell spatial cognition in a mobile robot. 7-8 - Zahra Mahoor, Bruce J. MacLennan
Neurally plausible motor babbling in robot reaching. 9-14 - G. E. Little, L. Bonnar, S. W. Kelly, Katrin S. Lohan, Gnanathusharan Rajendran
Gaze contingent joint attention with an avatar in children with and without ASD. 15-20 - Tadahiro Taniguchi, Ryo Nakashima, Shogo Nagasaka:
Direct word discovery from speech signals based on hierarchical Dirichlet process-hidden language model and deep sparse autoencoder. 23-24 - Daniel C. Strack:
Directionality in figurative language interpretation: Prior activation determines details of feature attribution in metaphor processing. 25-26 - Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessière:
Sensorimotor learning in a Bayesian computational model of speech communication. 27-32 - Suresh Kumar, Patricia H. Shaw, Daniel Lewkowicz, Alexandros Giagkos
Developing object understanding through schema generalisation. 33-38 - Maria Otworowska, Lorijn Zaadnoordijk
Causal learning in the Crib: A predictive processing formalization and babybot simulation. 39-40 - Lorijn Zaadnoordijk
The mobile-paradigm as measure of infants' sense of agency? Insights from babybot simulations. 41-42 - Erhard Wieser, Gordon Cheng
Progressive learning of sensory-motor maps through spatiotemporal predictors. 43-48 - Ralf Der, Georg Martius
Dynamical self-consistency leads to behavioral development and emergent social interactions in robots. 49-56 - Qiong Huang, Eiji Uchibe, Kenji Doya:
Emergence of communication among reinforcement learning agents under coordination environment. 57-58 - Jungsik Hwang, Minju Jung, Jinhyung Kim, Jun Tani:
A deep learning approach for seamless integration of cognitive skills for humanoid robots. 59-65 - Alessia Vignolo, Nicoletta Noceti, Alessandra Sciutti
The complexity of biological motion. 66-71 - Anja Kristina Philippsen
Goal babbling of acoustic-articulatory models with adaptive exploration noise. 72-78 - Francesca Stramandinoli, Vadim Tikhanoff
Grounding speech utterances in robotics affordances: An embodied statistical language model. 79-86 - Dingsheng Luo, Fan Hu, Wentao Liu
Robot learns the concept of direction through motion activity. 87-94 - Michael Spranger, Katrien Beuls
Referential uncertainty and word learning in high-dimensional, continuous meaning spaces. 95-100 - Lauriane Rat-Fischer
Development of physical problem-solving competences in human infants and corvids. 101-102 - Tanapol Prucksakorn, Sungmoon Jeong, Jochen Triesch, Hosun Lee, Nak Young Chong
Self-calibrating active depth perception via motion parallax. 103-108 - Frederique Bunlon, Jean-Pierre Gazeau
Action co-representation during task sharing and sensorimotor experience: A comparison study between Human-Human and Human-Robot interaction. 109-110 - Simon L. Gay, Alain Mille, Amélie Cordier:
Autonomous affordance construction without planning for environment-agnostic agents. 111-116 - Massimiliano Patacchiola, Angelo Cangelosi:
A developmental Bayesian model of trust in artificial cognitive systems. 117-123 - Adam Sheya:
The emergence of what where coordination in human infants. 124-125 - Elizabeth M. Clerkin, Elizabeth Hart, James M. Rehg
How everyday visual experience prepares the way for learning object names. 126-131 - Sven Bambach, Linda B. Smith, David J. Crandall, Chen Yu:
Objects in the center: How the infant's body constrains infant scenes. 132-137 - Francesco Rea
13-year-olds approach human-robot interaction like adults. 138-143 - Alban Laflaquière:
Autonomous grounding of visual field experience through sensorimotor prediction. 144-149 - Xavier Hinaut
Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures. 150-151 - Leni K. Le Goff, Pierre-Henri Le Fur, Stéphane Doncieux:
Exploration of unknown dynamic environments: A visual saliency-based babbling approach. 152-153 - Rodrigo Salgado, Abraham Prieto, Francisco Bellas
Improving extrinsically motivated developmental robots through intrinsic motivations. 154-155 - Shotaro Okajima, Shingo Shimoda, Yasuhisa Hasegawa
Acquisition of adaptive behavior of robot through bow-tie structure. 156-157 - Céline Craye, David Filliat
On the use of intrinsic motivation for visual saliency learning. 158-165 - Sarah Bechtle, Guido Schillaci
On the sense of agency and of object permanence in robots. 166-171 - Idai Guertel, Guido Schillaci
Using proprioceptive information for the development of robot body representations. 172-173 - Maxime Carrere, Frédéric Alexandre:
Modeling the sensory roles of noradrenaline in action selection. 174-179 - Vasanth Sarathy, Matthias Scheutz
Beyond grasping - perceiving affordances across various stages of cognitive development. 180-185 - Adrien Matricon, David Filliat
An iterative algorithm for forward-parameterized skill discovery. 186-192 - Hakim Guedjou
Posture recognition analysis during human-robot imitation learning. 193-194 - M. Julia Carbajal, Ahmad Dawud, Roland Thiollière, Emmanuel Dupoux:
The "language filter" hypothesis: A feasibility study of language separation in infancy using unsupervised clustering of I-vectors. 195-201 - Janny C. Stapel, Kerstin Rosander, Claes von Hofsten:
Infants' use of multisensory information for postural control. 202-203 - Nicolas Duminy
Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robot. 204-209 - Phillip Lücking, Katharina J. Rohlfing, Britta Wrede
Preschoolers' engagement in social interaction with an autonomous robotic system. 210-216 - Yuxin Chen, Jean-Baptiste Bordes, David Filliat
An experimental comparison between NMF and LDA for active cross-situational object-word learning. 217-222 - Jorge Luis Copete, Yukie Nagai, Minoru Asada:
Motor development facilitates the prediction of others' actions through sensorimotor predictive learning. 223-229 - Cristóbal J. Nettle
Tonic dopamine effects in a bio-inspired robot controller enhance expected lifetime. 230-237 - Sébastien Forestier, Pierre-Yves Oudeyer:
Overlapping waves in tool use development: A curiosity-driven computational model. 238-245 - Antonio Pico Villalpando, Guido Schillaci
How do I sound like? forward models for robot ego-noise prediction. 246-251 - Mohan Sridharan
Should I do that? using relational reinforcement learning and declarative programming to discover domain axioms. 252-259 - Jay Ming Wong, Roderic A. Grupen:
Intrinsically motivated multimodal structure learning. 260-261 - Alexa R. Romberg, Yayun Zhang, Benjamin Newman, Jochen Triesch, Chen Yu:
Global and local statistical regularities control visual attention to object sequences. 262-267 - Ibrahim A. Hameed:
Using natural language processing (NLP) for designing socially intelligent robots. 268-269 - Alexander Gepperth, Mathieu Lefort:
Learning to be attractive: Probabilistic computation with dynamic attractor networks. 270-277 - Daniel Lewkowicz, Alexandros Giagkos
Towards learning strategies and exploration patterns for feature perception. 278-283 - Max Murakami, Jantina Bolhuis, Thorsten Kolling, Monika Knopf, Jochen Triesch:
Look and learn: A model of gaze-contingent learning. 284-285 - Raphael Braud, Alexandre Pitti, Philippe Gaussier:
Dynamic sensorimotor model for open-ended acquisition of tool-use. 286-287 - Giuseppe Leonardi
Vocal interactions at the dawn of communication: The emergence of mutuality and complementarity in mother-infant interaction. 288-293 - Nikolas J. Hemion:
Context discovery for model learning in partially observable environments. 294-299 - Kenta Takabuchi, Naoto Iwahashi, Takeo Kunishima
A language acquisition method based on statistical machine translation for application to robots. 300-301 - Yiwen Chen, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
Emergence of interactive behaviors between two robots by prediction error minimization mechanism. 302-307 - Hamed Mahzoon, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Developmental robot with ostensive cue sensitive learning for real-world interaction based on local contingency evaluation. 308-309 - Dingsheng Luo, Fan Hu, Yian Deng, Wentao Liu
An infant-inspired model for robot developing its reaching ability. 310-317 - Jan Tekülve, Stephan K. U. Zibner, Gregor Schöner
A neural process model of learning to sequentially organize and activate pre-reaches. 318-325
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