• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.173-174
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• 2016

Domestic construction industry has trouble in ensuring competitiveness by aging of skilled labors and lack of innovation in construction technologies. Under the current circumstances, the construction automation technology becomes an useful alternative for enhancing competitiveness through productivity, quality and safety improvement. Thus, this study analyzes the priority in developing construction automation technology using IPA technique. The results show that repetitive and heavy material-included activities have high priority, and will be used as preliminary data for establishing reasonable target and range of construction automation.

• Computational Structural Engineering
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• v.2 no.3
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• pp.17-21
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• 1989

본 고에서는 건설산업, 특히 구조물의 설계 및 시공을 중심으로 컴퓨터의 일반적인 이용추세와 더불어 기반기술의 발전전망 및 통합화와 자동화에 필수적인 핵심기술의 개발방향에 대하여 기술하고저 한다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.263-264
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• 2023

3D printing technology is recognized as a core technology that will lead the next generation, and is a field that can have a large ripple effect if it innovates the existing construction production method. Therefore, this study deals with the development of a 3d printing system using an articulated robot for construction purposes. In this system, ABB robot was used to control the developed cement gun accurately. The system is composed of mixer to mix cementitious materials, pump to transfer the materials, abb robot to motion control and cement gun to extrude the materials to print required construction parts. Using the system developed in this study, a suitable mix ratio of cementitious materials was found and successively printed a 1m high structure that demonstrated possibility of printing structures using 3d printer. In the future, we plan to build a foundation for automated construction through research on construction methods and materials that can be continuously layered for the system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.267-268
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• 2023

Unmanned patrol robots are currently being developed for autonomous data survey in construction sites. As the amount of data acquired by robots increases, it is important to utilize proper metadata and system to manage data flow. In this study, we developed three materials, metadata design, robot system and web system, in the purpose of automating construction site data survey using unmanned patrol robots. The metadata was mainly designed to represent when and where raw data was acquired. To identify the location of data acquired, localization data from SLAM algorithm was converted to suit the construction drawings. The robot system and web system were developed to generate, store and parse the raw data and metadata automatically. The materials developed in this study was adopted to Boston Dynamics SPOT, a quadruped robot. Autonomous data survey of 360-picture and environment sensor was tested in two construction sites and the robot worked as intended. As a further study, development on the autonomous data survey to improve the convenience and productivity will be continued.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.556-565
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• 2009

In this paper, we propose a CAD software framework to automatically generate a shop drawing. Shop drawing is to draw the geometric figures representing an arrangement of steel bars for a concrete building on its structural design, based on its construction specifications and the design rules, and its well-formed process lead to be automated. A key point of the design automation is to minimize the user interactions by automatically recognizing the design specifications and to finally generate the shape of the geometric figures. The graphic pipeline of the proposed framework consists of four stages; a specification DB, specification extraction, binding, and rendering. To effectively extract all specifications only for a figure from the DB and bind them to its shape, we use a hierarchical approach; the specifications are classified into three common, structural, and figure classes, and each attribute is extracted in design phases. Based on our framework, we implemented a specialized CAD for shop drawing using AutoCAD and could easily update it according to user's demands.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.05a
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• pp.167-169
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• 2011

Construction Automation as a way to solve the problems of lack of skilled labor by decrease in construction population productivity and quality decrease. We are on the way to develop a construction automation system adequate for domestic circumstances in Korea; it is called RCA(Robotic-crane based Construction Automation) system. Climbing hydraulic robot system is a part of RCA system and makes Construction Factory(CF) climb next floor. The controller can control movement needs to be developed for CF safety. Synchronous control the actual field was applied to the controller logic and synchronous control of the process through which the safety has been verified. The purpose of this study that control of climbing hydraulic robot system behavior on real-time, and to improve safety for overall construction automation system through synchronous motion controller.

• Journal of Welding and Joining
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• v.14 no.5
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• pp.29-39
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• 1996

• Proceedings of the KWS Conference
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• 1992.04a
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• pp.16-19
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• 1992

• Journal of the Korea Institute of Building Construction
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• v.23 no.2
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• pp.209-220
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• 2023

Ensuring accuracy within tolerance is crucial for a marking robot; however, rebar displacement frequently occurs during the structural work process, necessitating corrections to layout lines or rebar locations. To guarantee precision and automation, the marking robot must be capable of measuring rebar error and determining appropriate adjustments for marking lines and rebar placement. Consequently, this study proposes a method for measuring rebar location error using a LiDAR sensor and implementing a layout assessment process based on the measurement results. The rebar recognition experiment using the LiDAR sensor yielded an average error of 5mm, demonstrating a reliable level of accuracy for wall rebars. Additionally, this research proposed a process that enables the robot to evaluate rebar and marking corrections based on the error range. The findings of this study can contribute to the automated operation of marking robots while accounting for construction errors, potentially leading to improvements in structural quality.

• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.105-112
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• 2010

The demand for the development of automated construction equipments is gradually increasing to deal with the current problems of construction technology, such as a lack of experienced workers, the aging of engineers, safety issues, etc. In particular, earth work such as excavation is very machine-dependent, and there has been a great deal of research on the development of an intelligent excavator, which involves great safety concerns. Thus, the objective of this study is to develop the technology to enhance the safety of intelligent excavation systems by developing an omnidirectional object detection technology for the intelligent excavator and applying it to a user-friendly system. The existing literature was reviewed, and the function of various sensor technologies was investigated and analyzed. Then, the best laser sensor was selected for an experiment to determine its effectiveness. An omnidirectional object detection algorithm was developed for a user interface program, and this can be used as the fundamental technology for the development of a safety management system for an intelligent excavator.