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    Motion Planning and Object Grasping of Baxter Robot with Bionic Hand

    Motion Planning and Object Grasping of Baxter Robot with Bionic Hand


    Abstract Grasping and moving objects is a natural behavior in human daily life, whereas it turns into an enormous challenge with robots. To analyze the difficulty of grasping and moving target objects, a arm-hand system is performed with 7-DOF dual arms robot and bionic hand in this paper. A numerical method is proposed to solve the problem of arm motion planning. And a novel grasping strategy is proposed for enabling bionic hand to grasp efficiently. Finally, the effectiveness of the proposed methodology is demonstrated using both computer simulation and physical experiment.

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    Titel :

    Motion Planning and Object Grasping of Baxter Robot with Bionic Hand

    Beteiligte:
    Fei, Xinyi (Autor:in) / Chen, Ling (Autor:in) / Xu, Yulin (Autor:in) / Liu, Yanbo (Autor:in)
    Erschienen in:

    Advanced Computational Methods in Life System Modeling and Simulation ; 4 ; 211-221

    Communications in Computer and Information Science ; 761 , 4

    Erscheinungsdatum :

    2017-01-01

    Format / Umfang :

    11 pages

    ISBN :

    978-981-10-6369-5 , 978-981-10-6370-1

    ISSN :

    1865-0929 , 1865-0937

    DOI :

    https://doi.org/10.1007/978-981-10-6370-1_21

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Motion planning , Grasping strategy , Robot arm-hand system Computer Science , Simulation and Modeling , Computational Biology/Bioinformatics , Health Informatics

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