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    Hierarchical robot path planning using a distributed blackboard

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    Author
    Ciscon, Lawrence A.
    Date
    1990
    Advisor
    de Figueiredo, Rui J. P.
    Degree
    Master of Science
    Abstract
    Hierarchical path planning techniques for Intelligent Autonomous Mobile Robots (IAMRs) attempt to subdivide the overall task of path planning into several layers. This subdivision is made more difficult by the physical robot's computational architecture. The most important problem with classic hierarchies is their inability to cope with a diversity of environments and obstacles. In this research, we present a hierarchical path planning paradigm which uses a distributed blackboard architecture as its foundation. We subdivide the path planning problem into three levels: a global path planner, a local planner, and a set of constraint analyzers. By creating a uniform distributed blackboard that spans many processors in a network, we have formed the basis of a uniform operating environment for experimenting with layered path planning, as well as other mobile robot issues. And by dividing the planning into three layers instead of two, the system is able to handle much more complicated and diverse environments.
    Keyword
    Electronics; Electrical engineering; Computer science
    Citation
    Ciscon, Lawrence A.. "Hierarchical robot path planning using a distributed blackboard." (1990) Master’s Thesis, Rice University. https://hdl.handle.net/1911/13422.
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    • ECE Theses and Dissertations [597]
    • Rice University Electronic Theses and Dissertations [13783]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map