Proceedings ArticleDOI
An open-source simulator for cognitive robotics research: the prototype of the iCub humanoid robot simulator
Vadim Tikhanoff,Angelo Cangelosi,Paul Fitzpatrick,Giorgio Metta,Lorenzo Natale,Francesco Nori +5 more
- pp 57-61
TLDR
The prototype of a new computer simulator for the humanoid robot iCub, developed as part of a joint effort with the European project "ITALK" on the integration and transfer of action and language knowledge in cognitive robots.Abstract:
This paper presents the prototype of a new computer simulator for the humanoid robot iCub. The iCub is a new open-source humanoid robot developed as a result of the "RobotCub" project, a collaborative European project aiming at developing a new open-source cognitive robotics platform. The iCub simulator has been developed as part of a joint effort with the European project "ITALK" on the integration and transfer of action and language knowledge in cognitive robots. This is available open-source to all researchers interested in cognitive robotics experiments with the iCub humanoid platform.read more
Citations
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Journal ArticleDOI
A Multimodal Connectionist Architecture for Unsupervised Grounding of Spatial Language
Michal Vavrecka,Igor Farkaš +1 more
TL;DR: A bio-inspired unsupervised connectionist architecture is proposed and applied to grounding the spatial phrases and it is revealed that separate processing and representation of the spatial location and the object shape significantly improve the performance of the model.
Journal ArticleDOI
Generalisation, decision making, and embodiment effects in mental rotation
TL;DR: The work presented in this study overcomes limitations by proposing a novel neurorobotic model that has a macro-architecture constrained by knowledge held on brain, encompasses a rather general mental rotation mechanism, and incorporates a biologically plausible decision making mechanism.
Journal ArticleDOI
A review of abstract concept learning in embodied agents and robots.
TL;DR: This will include a discussion of the learning of abstract words such as ‘use’ and ‘make’ in humanoid robot experiments, and the acquisition of numerical concepts via gesture and finger counting strategies.
Journal ArticleDOI
Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots.
TL;DR: A Bayesian generative model that can form multiple categories based on each sensory-channel and can associate words with any of the four sensory-channels and show that the robot could successfully use the word meanings learned by using the proposed method.
Proceedings ArticleDOI
Learning task space control through goal directed exploration
TL;DR: An autonomous goal-directed strategy to learn how to control a redundant robot in the task space by using arm and waist motion, not relying on any prior knowledge or initial motor babbling is presented.
References
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Cyberbotics Ltd. Webots™: Professional Mobile Robot Simulation:
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