Show Reference: "A Virtual Reality Platform for Modeling Cognitive Development"

A Virtual Reality Platform for Modeling Cognitive Development In Biomimetic Neural Learning for Intelligent Robots, Vol. 3575 (2005), pp. 211-224, doi:10.1007/11521082_12 by Hector Jasso, Jochen Triesch edited by Stefan Wermter, G√ľnther Palm, Mark Elshaw
    abstract = {We present a virtual reality platform for developing and evaluating embodied models of cognitive development. The platform facilitates structuring of the learning agent, of its visual environment, and of other virtual characters that interact with the learning agent. It allows us to systematically study the role of the visual and social environment for the development of particular cognitive skills in a controlled fashion. We describe how it is currently being used for constructing an embodied model of the emergence of gaze following in infant-caregiver interactions and discuss the relative benefits of virtual vs. robotic modeling approaches.},
    author = {Jasso, Hector and Triesch, Jochen},
    booktitle = {Biomimetic Neural Learning for Intelligent Robots},
    doi = {10.1007/11521082\_12},
    editor = {Wermter, Stefan and Palm, G\"{u}nther and Elshaw, Mark},
    keywords = {development, developmental-robotics, neurorobotics, robotics},
    pages = {211--224},
    posted-at = {2013-06-27 14:21:15},
    priority = {2},
    publisher = {Springer Berlin Heidelberg},
    series = {Lecture Notes in Computer Science},
    title = {A Virtual Reality Platform for Modeling Cognitive Development},
    url = {\_12},
    volume = {3575},
    year = {2005}

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Jasso and Triesch presented a simulated virtual reality environment for training robotic models.

Jasso and Triesch acknowledge that a simulation does not always follow exactly the laws of physics. In fact, their environment does not simulate any physics except those of human motion.

Jasso and Triesch argue that for the high-level cognition they train, lacking simulations of physics aren't a problem.

Jasso and Triesch argue that their simulated robots are not limited by the capabilities of today's robotic technology.