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 61801-2352Office 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
- 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
- Files: UTC, RIP
- Created Date: Jan 14 2025 4:12PM