• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.155-156
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• 2022

In the process of developing an industrial robot, various simulations should be conducted to evaluate the driving, movement, and performance of the robot. Space and time constraints exist to manufacture existing robots and implement various simulations, and efficiency is reduced due to high costs. To solve this problem, many simulations can be conducted by implementing the same movement and working environment as the real environment in virtual reality using digital twin technology. This study proposes a process for establishing a digital twin model of automated layout robots. Using the digital twin model, it is expected that it will not only evaluate the hardware performance of the robot in the future, but also verify the robot's algorithms such as motion planning and work process, identify and solve potential problems in advance, and prevent problems caused by software.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.177-181
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• 2007

The construction industry is still more labor-intensive than other manufacturing industries. Because of that, it is recognize as a 3D industry. So, many researches to solve it increase to apply robots as to construction sites. Robots are recognized to alleviate the problem of construction industry as the alternative. Therefore in this study, automatic construction system for high-rise building based on robots is developed with high profit as a better research than Japanese it which have gone in advance of robot technology in the world.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.669-673
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• 2006

Field works are decreasing gradually since advancement of industrial robots. Tunnel cleaning is a dangerous field work which can be solved only by introducingadvanced tunnel cleaning automation equipment. Industrial robots work tirelessly night and day without a loss in performance. Consequently, greatly reduce the costs of manufactured goods.So far only 200 construction robots are invented. Robots used for tunnel cleaning are not of high standard they always need additional workers for job to be done. Robots offer specific benefits to workers, industries and countries. If introduced correctly for tunnel cleaning, industrial robots can improve the quality of life by freeing workers from dirty, boring, dangerous and heavy labor. Development of advanced tunnel cleaning automation equipment is a must to overcome above issues. The benefits of robots to industry include improved management control, productivity and consistently high quality products. This research is a study on tunnel cleaning automation equipment and introducing advanced tunnel cleaning automation equipment.

• International Journal of High-Rise Buildings
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• v.9 no.1
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• pp.95-104
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• 2020

Recently, robotic technologies have significantly improved, bringing considerable enhancements in many sectors; the main objective of this paper is to figure out if these innovations have also involved the building industry. To achieve this purpose, it has been considered crucial to first reshape and clarify some concepts, incorporating a much more flexible understanding of the term "robot", as well as the formulation of its future potential. Subsequently, it has been carried out an analysis of the various advanced devices that are currently available to be employed in the construction processes; the review includes a thorough classification of construction robots, divided into 18 families reflecting their purpose of use, and a dissection based on the term used to define them. The attention has been focused on the most updated and recent robots and, in their absence, on the most advanced machines prevailing. This operation has been achieved taking into account the development history of construction robots, as well as the analyses and classifications previously conducted, reconsidering them according to the just mentioned reflections. Furthermore, an in-depth exploration of the exoskeletons, as well as on a sophisticated robot recently developed by Schindler Group has been executed.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1177-1180
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• 1996

In this paper, we propose an algorithm that realizes cooperative behavior by construction of autonomous mobile robot system. Each robot is able to sense other robots and obstacles, and it has the rule of behavior to achieve the goal of the system. In this paper, to improve performance of the whole system, we use Genetic Programming based on Natural Selection. Genetic Programming's chromosome is a program of tree structure and it's major operators are crossover and mutation. We verify the effectiveness of the proposed scheme from the several examples.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.221-222
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• 2023

The purpose of this study is to analyze the applicability and limitations of SPOT robots in the construction industry. The SPOT robot, which is being introduced to construction sites for smart construction with the progress of the 4th industrial revolution, is shaped like a four-legged dog and is equipped with various sensors for data collection and autonomous driving. In this study, hardware and software were analyzed, such as the size of the SPOT robot, mobility on slopes and heights, operating environment, and software functions that can collect data with a sensor weighing up to 14 kg. In addition, while the SPOT robot operates in a construction environment, performance such as stability, accuracy, signal connection distance, and obstacle avoidance are evaluated, and the applicability and limitations of the SPOT robot in the construction industry are analyzed. Based on this analysis, the purpose of this study is to evaluate when and how SPOT robots can be effectively used at construction sites, identify limitations, and derive contributions and improvements for the construction industry.

• Journal of Drive and Control
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• v.15 no.3
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• pp.1-7
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• 2018

Humanoid robots have fascinated many researchers since they appeared decades ago. For the requirement of both accurate tracking control and the safety of physical human-robot interaction, torque control is basically desirable for humanoid robots. Humanoid robots are highly nonlinear, coupled, complex systems, accordingly the calculation of robot model is difficult and even impossible if precise model of the humanoid robots are unknown. Therefore, it is difficult to control using traditional model-based techniques. To realize model-free torque control, time-delay control (TDC) for humanoid robot was proposed with time-delay estimation technique. Using optimal walking trajectory obtained by particle swarm optimization, TDC with proposed scheme is implemented on whole body of a humanoid, not on biped legs even though it is performed by a virtual humanoid robot. The simulation results show the validity of the proposed TDC for humanoid robots.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.319-327
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• 2022

Robots for construction sites, although not deeply widespread, are finding applications in the duties of project monitoring, material movement, documentation, security, and simple repetitive construction-related tasks. A significant shortcoming in the use of robots is the complexity involved in programming and re-programming an automation routine. Robotic programming is not an expected skill set of the traditional construction industry professional. Therefore, this research seeks to deliver a low-cost approach toward re-programming that does not involve a programmer's skill set. The researchers in this study examined an approach toward programming a terrestrial-based drone so that it follows a taped path. By doing so, if an alternative path is required, programmers would not be needed to re-program any part of the automated routine. Changing the path of the drone simply requires removing the tape and placing a different path - ideally simplifying the process and quickly allowing practitioners to implement a new automated routine. Python programming scripts were used with a DJI Robomaster EP Core drone, and a terrain navigation assessment was conducted. The study examined the pass/fail rates for a series of trial run over different terrains. The analysis of this data along with video recording for each trial run allowed the researchers to conclude that the accuracy of the tape follow technique was predictable on each of the terrain surfaces. The accuracy and predictability inform a non-coding construction practitioner of the optimal placement of the taped path. This paper further presents limitations and suggestions for some possible extended research options for this study.

• Journal of Drive and Control
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• v.17 no.1
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• pp.44-50
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• 2020

For the requirement of accurate tracking control and the safety of physical human-robot interaction, torque control is basically desirable for humanoid robots. Because of the complexity of humanoid robot dynamics, the TDC (time-delay control) is practical because it does not require a dynamic model. However, there occurs a considerable error due to discontinuous non-linearities. To solve this problem, the TDC-FLC (fuzzy logic compensator) is applied to humanoid robots. The applied controller contains three factors: a TDE (time-delay estimation) factor, a desired error dynamic factor, and FLC to suppress the TDE error. The TDC-FLC is easy to execute because it does not require complicated humanoid dynamic calculations and the heuristic fuzzy control rules are intuitive. TDC-FLC is implemented on the whole body of a humanoid, not on biped legs even though it is performed by a virtual humanoid robot. The simulation results show the validity of the TDC-FLC for humanoid robots.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.5
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• pp.1-7
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• 2009

In this paper, hardware design methods for segway type 2-wheeled mobile robots are presented. Basically five guide lines are offered to build robots properly for the purpose of experiments; motor selection, battery selection, MCU selection, motor placement, and construction of body. The robots built with these five guide lines will give the best test environment to gain meaningful results in experiments as a precise and exact test-bed.