Show Reference: "Integrating Neuroscience-based Models Towards an Autonomous Biomimetic Synthetic Forager"

Integrating Neuroscience-based Models Towards an Autonomous Biomimetic Synthetic Forager In 2011 IEEE International Conference on Robotics and Biomimetics (December 2011), pp. 210-215, doi:10.1109/robio.2011.6181287 by Cesar Renno-Costa, Andre L. Luvizotto, Encarni Marcos, et al.
@inproceedings{renno-costa-et-al-2011,
    abstract = {Foraging can be described as goal-oriented exploration for resources. It exemplifies how animals coordinate complex sensory and effector systems under varying environmental conditions. To emulate the foraging capabilities of natural systems is a major goal for robotics. Therefore, foraging is an excellent paradigm to benchmark novel autonomous control strategies. Here we describe the biomimetic control architecture of the Synthetic Forager ({SF}), an effort to integrate multiple biologically constrained models of specific perceptual and cognitive processes pertaining to foraging into one general autonomous robot controller. This proposal is built upon the well-established Distributed Adaptive Control ({DAC}) framework and brings together neuroscience-based models of decision-making, multi-modal sensory processing, localization and mapping and allostatic behavioral control. To show the potential of the {SF} model we used it to control a high-mobility wheeled robotic platform in three behavioral tasks similar to experimental protocols applied to rodents. We show that the robot can reliably perform cue detection, rule learning and goal-oriented navigation in open environments. We propose that this approach to robotics allows both the study of embodied neuroscience models and the transfer of brain based principles to robotic systems.},
    author = {Renno-Costa, Cesar and Luvizotto, Andre L. and Marcos, Encarni and Duff, Armin and Sanchez-Fibla, Marti and Verschure, Paul F. M. J.},
    booktitle = {2011 IEEE International Conference on Robotics and Biomimetics},
    doi = {10.1109/robio.2011.6181287},
    isbn = {978-1-4577-2138-0},
    keywords = {architecture, model, slam},
    location = {Karon Beach, Thailand},
    month = dec,
    pages = {210--215},
    posted-at = {2012-04-18 15:15:07},
    priority = {2},
    publisher = {IEEE},
    title = {Integrating Neuroscience-based Models Towards an Autonomous Biomimetic Synthetic Forager},
    url = {http://dx.doi.org/10.1109/robio.2011.6181287},
    year = {2011}
}

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