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    Recursive Algorithm for Motion Primitive Estimation

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    ICRA 2011 Enes.pdf (887.7Kb)
    Date
    2011-05
    Author
    Enes, Aaron R.
    Book, Wayne John
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    Abstract
    The need for knowing future manipulator motion arises in several robotics applications, including notification or avoidance of imminent collisions and real-time optimization of velocity commands. This paper presents a real-time, low overhead algorithm for identification of future manipulator motions, based on measurements of prior motions and the instantaneous sensed actuator velocity commanded by an operator. Experimental results with a human-controlled, two degree of-freedom manipulator demonstrate the ability to quickly learn and accurately estimate future manipulator motions.
    URI
    http://hdl.handle.net/1853/38974
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    • Intelligent Machine Dynamics Laboratory [175]
    • Intelligent Machine Dynamics Laboratory Publications [175]

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