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WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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Learning Actions From Natural Language Instructions Using an ON-World Embodied Cognitive Architecture
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In: Front Neurorobot (2021)
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Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives ...
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When object color is a red herring: extraneous perceptual information hinders word learning via referent selection
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Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping ...
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How context affects early language acquisition: An embodied model of early referent selection and word learning. ...
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Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs ...
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Embodied language learning and cognitive bootstrapping: methods and design principles
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Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
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Alignment to the Actions of a Robot
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In: ISSN: 1875-4791 ; EISSN: 1875-4805 ; International Journal of Social Robotics ; https://hal.inria.fr/hal-01249226 ; International Journal of Social Robotics, Springer, 2015, ⟨10.1007/s12369-014-0252-0⟩ (2015)
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Posture Affects How Robots and Infants Map Words to Objects
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The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
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A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language
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Posture Affects How Robots and Infants Map Words to Objects
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