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Natalia Lyubova
Researcher at Superior National School of Advanced Techniques
Publications - 12
Citations - 196
Natalia Lyubova is an academic researcher from Superior National School of Advanced Techniques. The author has contributed to research in topics: Robot learning & Humanoid robot. The author has an hindex of 6, co-authored 12 publications receiving 185 citations.
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Journal ArticleDOI
Object Learning Through Active Exploration
Serena Ivaldi,Sao Mai Nguyen,Natalia Lyubova,Alain Droniou,Vincent Padois,David Filliat,Pierre-Yves Oudeyer,Olivier Sigaud +7 more
TL;DR: This paper presents the design guidelines of the cognitive architecture, its main functionalities, and outlines the cognitive process of the robot by showing how it learns to recognize objects in a human-robot interaction scenario inspired by social parenting.
Proceedings ArticleDOI
Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot
Sao Mai Nguyen,Serena Ivaldi,Natalia Lyubova,Alain Droniou,Damien Gerardeaux-Viret,David Filliat,Vincent Padois,Olivier Sigaud,Pierre-Yves Oudeyer +8 more
TL;DR: Experimental results show that the humanoid robot iCub can learn to recognize 3D objects by manipulation and in interaction with teachers by choosing the adequate exploration strategy to enhance competence progress and by focusing its efforts on the most complex tasks.
Proceedings ArticleDOI
Perception and human interaction for developmental learning of objects and affordances
Serena Ivaldi,Natalia Lyubova,Damien Gerardeaux-Viret,Alain Droniou,Salvatore Maria Anzalone,Mohamed Chetouani,David Filliat,Olivier Sigaud +7 more
TL;DR: A cognitive architecture for humanoids interacting with objects and caregivers in a developmental robotics scenario, focusing on the elementary action, perception and interaction modules is described.
Journal ArticleDOI
From passive to interactive object learning and recognition through self-identification on a humanoid robot
TL;DR: This work proposes a developmental approach that enables a robot to progressively learn objects appearances in a social environment: first, only through observation, then through active object manipulation.
Proceedings ArticleDOI
Developmental approach for interactive object discovery
Natalia Lyubova,David Filliat +1 more
TL;DR: A visual system for a humanoid robot that supports an efficient online learning and recognition of various elements of the environment and is implemented on the iCub robot and shows 85% average recognition rate for 10 objects after 30 minutes of interaction.