AI-based Lift Path Planning for Robotic Installation of Precast Bridge Components

The objective of this exploratory project is to develop and test an AI-based framework for 3D crane lift path planning in robotic installation of precast bridge components via physics-based dynamic simulation. The proposed method will consider the kinematic constraints of crane operation and is adaptive to diverse site configurations and structural designs. If successful, the project will prove the feasibility and benefits of using robotic technologies for installation of precast components in transportation infrastructure. The developed framework will establish the technical foundation and could be potentially extended and implemented in real construction projects with complex design and site conditions, thus improving construction productivity and reducing human efforts.

    Language

    • English

    Project

    • Sponsor Organizations:

      University of Illinois, Urbana-Champaign

      Department of Civil and Environmental Engineering
      Newmark Civil Engineering Laboratory
      Urbana, IL  United States  61801-2352

      Office of the Assistant Secretary for Research and Technology

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

      University of Texas at San Antonio

      One UTSA Circle
      San Antonio, TX  United States  78249
    • Principal Investigators:

      Cai, Jiannan

      Du, Ao

    • Start Date: 20250101
    • Expected Completion Date: 20250630
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01942527
    • Record Type: Research project
    • Source Agency: Transportation Infrastructure Precast Innovation Center
    • Files: UTC, RIP
    • Created Date: Jan 14 2025 4:12PM