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

• Status: Active
• Funding: $30,000.00
• Contract Numbers:

  69A3552348333

• 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
• Managing Organizations:

  Transportation Infrastructure Precast Innovation Center (TRANS-IPIC)

  University of Illinois at Urbana-Champaign
  Urbana, IL  United States  61801
• 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
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Artificial intelligence; Bridge construction; Components; Cranes; Robots
• Subject Areas: Bridges and other structures; Construction; Data and Information Technology; Highways;

Filing Info

• Accession Number: 01942527
• Record Type: Research project
• Source Agency: Transportation Infrastructure Precast Innovation Center (TRANS-IPIC)
• Contract Numbers: 69A3552348333
• Files: UTC, RIP
• Created Date: Jan 14 2025 4:12PM