| Document Date: 2013-05-02 05:56:06
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City Santos / / Company Oxford University Press / Neuronics AG / Prentice-Hall / Cambridge University Press / Artificial Neural Networks / Cognitive Systems / / Country United States / / / Facility Prentice Hall / Dalle Molle Institute / Italian Institute of Technology / Hall Englewood Cliffs / / IndustryTerm lightweight networks / gap artificial systems / object detection algorithm / pre-processing step / human nervous systems / neural network / on-line motion / networks / actual hardware / chemical processes / information processing technique / chemical problems / error backpropagation algorithm / neural networks / opensource software system / trained neural networks / sensor systems / numerical algorithms / robotics applications / robotic systems / real-time collision avoidance / / Organization Cambridge University / Dalle Molle Institute / Institute of Technology / European Union / Oxford University / / Person Simon Harding / Mikhail Frank / / Position teacher / feed-forward / head / operational space controller / controller / / Product MoBeE / / PublishedMedium Machine Learning / / Technology error backpropagation algorithm / neuroscience / object detection algorithm / neural network / artificial intelligence / Information Technology / machine learning / trained using the standard error backpropagation algorithm / / URL http /
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Artificial Neural Networks For Spatial Perception Towards Visual Object Localisation in Humanoid Robots J¨urgen Leitner, Simon Harding, Mikhail Frank, Alexander F¨orster, J¨urgen Schmidhuber Abstract— In this paper,