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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Proceedings ArticleDOI
GeroSim: A simulation framework for gesture driven robotic arm control using Intel RealSense
Rupam Das,K.B. Shiva Kumar +1 more
TL;DR: This paper provides a unique framework for robotic arm simulation for gesture driven control called GeroSim (Gesture-Robotics-Simulator), which can support multiple modalities and can be used for practical design of gesture controlled robotic systems.
Proceedings ArticleDOI
A robotics simulator platform for RADOE
TL;DR: A new simulation platform for the industrial project of Robot Application Development and Operating Environment (RADOE) and a Rviz interface plugin is developed for users to easily load the launch files or parameter files to the simulation platform.
Book ChapterDOI
Embodied Mental Imagery in Cognitive Robots
TL;DR: The emphasis will be on the embodied imagery mechanisms applied to build artificial cognitive models of motor imagery and mental simulation to control complex behaviors of humanoid platforms, which represent the artificial body.
Posted Content
Sensorimotor learning for artificial body perception
TL;DR: This paper describes some of the latest approaches for modelling artificial body self-perception: from Bayesian estimation to deep learning, and shows the potential of these free-model unsupervised or semi-supervised crossmodal/intermodal learning approaches.
Proceedings ArticleDOI
Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform
TL;DR: This work shows a developmental framework for RL in robotics and its implementation and testing for the iCub robotic platform in two novel experimental scenarios, and focuses on iCub simulation experiments with comparisons between internal perception-based reward signals and external ones, to compare learning performance of the robot guided by its own perception of action's outcomes.
References
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Proceedings ArticleDOI
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MonographDOI
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Cyberbotics Ltd. Webots™: Professional Mobile Robot Simulation:
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