Abstract The new paradigms of Industry 4.0 demand the collaboration between robot and humans. They could help and collaborate each other without any additional safety unlike other manipulators. The robot should have the ability of acquire the environment and plan (or re-plan) on-the-fly the movement avoiding the obstacles and people. This paper proposes a system that acquires the environment space, based on a kinect sensor, performs the path planning of a UR5 manipulator for pick and place tasks while avoiding the objects, based on the point cloud from kinect. Results allow to validate the proposed system.


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    Title :

    Dynamic Collision Avoidance System for a Manipulator Based on RGB-D Data


    Contributors:
    Brito, Thadeu (author) / Lima, Jose (author) / Costa, Pedro (author) / Piardi, Luis (author)


    Publication date :

    2017-12-21


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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