Inspired by infant development and brain research, this paper, combining the two research hotspot: developmental robotics and robotic hand-eye coordination, proposes to employ incremental process to implement robotic hand-eye coordination using double-neural networks under the experimental condition of two cameras and a robotic arm. This setup is to imitate the developmental progress of human infant to capture objects; and the networks are implemented by the constructive network which can simulate infant’s brain development. Furthermore, this paper delicately describes the details of the experiment plan and steps to show the combining course of the two hotspot.


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    Title :

    A Developmental Approach to Robotic 3D Hand-Eye Coordination


    Additional title:

    Adv.Intel.,Soft Computing


    Contributors:
    Xie, Anne (editor) / Huang, Xiong (editor) / Hu, Lin (author) / Chao, Fei (author) / Jiang, Min (author) / Shi, MingHui (author) / Wang, Pan (author)


    Publication date :

    2012-01-01


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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