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    Human guided reach and grasp planner

    Author
    Dallas, Matthew
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    172584_Dallas_rpi_0185N_10341.pdf (2.457Mb)
    Other Contributors
    Trinkle, Jeffrey C.; Wen, John T.; Stewart, Charles V.;
    Date Issued
    2014-05
    Subject
    Computer science
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/1080
    Abstract
    Humans are extremely adept at grasping and manipulating a large variety of novel objects. The current state of robotic grasping, though improving, has not approached the level of robustness found in humans. In order to improve robotic grasping, this paper describes a method of integrating human grasp data into automated path planning and grasp acquisition called the Human-Guided Reach and Grasp Planner. Human grasp data is collected by combining input from two hardware systems: an array of infrared motion tracking cameras for spacial orientation and a sensor glove for highly accurate joint information. Collected data is stored for later use in robotic grasp planning. The Human-Guided Reach and Grasp Planner is then able to generate a trajectory for accomplishing the demonstrated task on the same object in new environments. This planner combines previous research in the fields of robotic learning, sequence alignment, human grasping and path planning among others.;
    Description
    May 2014; School of Science
    Department
    Dept. of Computer Science;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;
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    • RPI Theses Online (Complete)
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