• The Journal of Korea Robotics Society
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• v.14 no.3
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• pp.191-195
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• 2019

This paper presents a rope modeling and verification for the robotic platform of the wall cleaning robot (ROPE RIDE). ROPE RIDE has the characteristics of climbing up and down using a rope fixed on the roof like traditional workers. In order to perform a stable operation with a wall cleaning robot, it is necessary to estimate the position of the robot in a vertical direction. However, due to the high coefficient of extension and nonlinearity of the climbing rope, it is difficult to predict the behavior of the rope. Thus, in this paper, the mathematical modeling of the rope was carried out through the preliminary experiment. Extensive experiments using different types of rope were used to determine the parameters of the constitutive equation of climbing ropes. The validity of the determined parameters of various ropes was verified through the experiment results.

• Journal of the Korea Institute of Building Construction
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• v.12 no.2
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• pp.220-229
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• 2012

In recent years, the number of high-rise buildings has been on the rise. As buildings have become larger in scale, significantly different issues related to their construction and maintenance have emerged. In addition, the automation and mechanization of the cleaning work for the curtain wall, one of the most frequently-performed tasks in building maintenance, is required as a fundamental measure. For this reason, a guide-rail cleaning robot system is emerging as one of the measures in response to external factors, including gust. Therefore, this is a preliminary study for the automation and mechanization of the curtain wall cleaning of high-rise buildings, and aims to derive the basic units and prepare for the concept of the guide rail. It is expected to serve as precedent research for the development and operation of a curtain-wall cleaning robot, and to prepare the basis for an final design of optimal guide rail.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.195-196
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• 2011

Recently, the number of high-rise buildings has been on the rise, which has meant that maintenance cost has increased by two and three times, along with the increase in the construction cost. It is suggested that the use of an auto-cleaning robot could increase the productivity and safety of cleaning work, which is mostly done outside of a building. In particular, the guide rail on a high-rise building could be useful in this capacity, as it has the advantage of not being significantly influenced by factors of the external environment, including wind pressure. For this reason, this research is preliminary research into a cleaning automation for a high-rise building, and aims to draw up a scenario for the vertically moving robot.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.193-194
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• 2012

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.157-159
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• 2012

In recent years, the number of high-rise buildings has been on the rise. As buildings have become larger in scale, significantly different issues related to their construction and maintenance have emerged. In addition, the automation and mechanization of the cleaning work for the curtain wall, one of the most frequently-performed tasks in building maintenance, is required as a fundamental measure. For this reason, a guide-rail type cleaning robot system is emerging as one of the measures in response to external factors, including gust. The major objective of this study is to propose an economic feasibility forecasting model and to apply the a building facade cleaning robot which is now under development.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.05b
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• pp.77-79
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• 2011

As residents and building owners demand maintenance that is required to achieve sustainable building performance, efficient building management methods are required. Even though the demand for maintenance systems is increasing, current maintenance work for high-rise buildings mostly uses conventional ropes and gondolas that pose a high risk of accidents and exhibit poor performance and efficiency. Thus, there is an urgent need to develop an automation robot system that can reduce accidents and improve the maintenance efficiency of the conventional high-rise building façade maintenance system. As a preceding work for the development of an automation robot system, this study classified and analyzed the work processes of actual construction sites and proposed basic techniques for the work mechanisms of the robot system by investigating the motions of cleaning workers.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.4
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• pp.359-367
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• 2013

With recent growth of the economy and development of construction technology, the increase of high-rise buildings is appearing rapidly in urban areas. For this reason, the interest in building maintenance has also been increasing. However, it has many safety problems because it is difficult for the workers to access the exterior wall of building. Therefore, the maintenance system of high-rise building stands out as being important issues to be developed, so that a variety of robot systems have been developed to accomplish the building-wall maintenance works. In this paper, the maintenance robots are classified in painting, inspecting, cleaning systems according to the maintenance works. Then, their locomotion and adhesion mechanisms are analyzed including their applicability to the real maintenance works. This study can be used to develop maintenance robotic system that is more efficient and stable than existing ones.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.16 no.1
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• pp.84-91
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• 2020

The APR1400 reactor stud holes can be stuck due to high temperatures, high pressure, prolonged engagement, and load changes according to pressure changes in the reactor. Threaded surfaces of a stud hole should be cleaned for the sealing of pressure in reactor vessel by removing any foreign materials which may exist in the stud holes. Human workers can access to the stud hole for the cleaning of stud holes manually, but the radiation exposure of human workers is increased. Robot is an effective way to work in hazardous area. So we introduced robot for the cleaning of stud holes. Localization of mobile robots is generally based on odometry, but with increased mileage, position errors can be accumulated. In order to eliminate cumulative error and to ensure stability of its driving, laser sensors and new control algorithm were utilized. The distance between the robot and the wall was measured by laser sensors, and the control algorithm was implemented so as to travel the desired trajectory by using the measured values from sensors. The performance of driving and hole sensing were verified through field application, and mobile robot was confirmed to be applicable to the APR 1400 NPP.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.373-374
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• 2011

• The Journal of Korea Robotics Society
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• v.6 no.3
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• pp.255-262
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• 2011

Many intelligent robots have to be given environmental information to perform tasks. In this paper an intelligent robot, that is, a cleaning robot used a sensor fusing method of two sensors: LRF and StarGazer, and then was able to obtain the information. Throughout wall following using laser displacement sensor, LRF, the working area is built during the robot turn one cycle around the area. After the process of wall following, a path planning which is able to execute the work effectively is established using flow network algorithm. This paper describes an algorithm for minimal turning complete coverage path planning for intelligent robots. This algorithm divides the whole working area by cellular decomposition, and then provides the path planning among the cells employing flow networks. It also provides specific path planning inside each cell guaranteeing the minimal turning of the robots. The proposed algorithm is applied to two different working areas, and verified that it is an optimal path planning method.