Nondestructive Data Driven Motion Planning for Inspection Robots

This project aims to provide the already built climbing robotic systems an autonomous inspection capability through: (1) development of an accurate and reliable localization algorithm for the climbing robots to allow them to know their position on the steel bridge; (2) development of a motion planning algorithm to allow the robots to safely navigate on the bridge structure members and efficiently inspect the bridge via nondestructive evaluation (NDE) data driven; (3) test and validation of these proposed localization and motion planning algorithms on the robots in both robotics-based simulation environment and real bridges.

    Language

    • English

    Project

    • Status: Active
    • Funding: $181253
    • Contract Numbers:

      69A3551747126

    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Inspecting and Preserving Infrastructure through Robotic Exploration University Transportation Center

      Missouri University of Science and Technology
      Rolla, MO  United States  65409
    • Performing Organizations:

      University of Nevada, Reno

      1664 N. Virginia Street
      Reno, Nevada  United States  89557
    • Principal Investigators:

      La, Hung

    • Start Date: 20200101
    • Expected Completion Date: 20201231
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01752350
    • Record Type: Research project
    • Source Agency: Inspecting and Preserving Infrastructure through Robotic Exploration University Transportation Center
    • Contract Numbers: 69A3551747126
    • Files: UTC, RiP
    • Created Date: Sep 17 2020 4:27PM