Challenged by the prevalent workforce shortage, the construction industry is picking up interest in using robotic arms in construction operations, especially in the context of modular construction and prefabrication. However, the lack of systematic investigations into integrating robotic arms with mobile systems to enhance mobility and operational range has been identified as one main research gap. Stationary robotic arms have inherent limitations in their range, making mobility a critical need. To address that issue, in this paper, the authors proposed a mobile construction robotic system to facilitate their use in the automation of timber frame assembly operation. The authors simulated the system to assess the interactions and coordination among its various components, and to identify potential areas for improvement. This study showcased the effectiveness of the new system design in improving the timber construction automation process and reveals its potential for further exploration in the realm of mobile construction robotics.
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Game Simulation to Support Construction Automation in Modular Construction Using BIM and Robotics Technology – Stage I
Modular construction has been proven to be more time-efficient comparing to stick-built construction. However, the lack of automation technologies adoption shows a missed opportunity in modular construction, where the time efficiency of the modular process can be further improved, along with quality and safety. To address this problem, the authors proposed a new simulation method for modular construction using BIM, game simulation, and robotics technology, to help analyze and promote automation in modular construction of wood structures in a controlled indoor environment. As a first stage, the authors presented their simulation methodology, definition of the parameters and constraints for the construction simulation, and creation of the interactive simulation model. This first stage will be the foundation for further development that will enable the assessment of construction productivity when integrating robotic systems into the modular construction workflow.
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- Award ID(s):
- 1827733
- PAR ID:
- 10104672
- Date Published:
- Journal Name:
- ASCE International Conference on Computing in Civil Engineering 2019
- Page Range / eLocation ID:
- 376 to 383
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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