• Journal of the Korean Society of Industry Convergence
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• v.21 no.3
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• pp.117-123
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• 2018

Continued R&D investment by the government and corporate support played a major role as the background of the rapid growth of the Republic of Korea. In 2017 of the Republic of Korea, the R&D support size of the government accounted for 19.7 trillion won, accounting for 4.7% of the government budget. Government R&D budgets are increasing by 2.5% each year. In this paper, we analyzed the outcomes of the Busan regional company support project conducted in the 2 years. For the time series analysis, we gathered company support amount by year, sales after company support, employment. We used IBM SPSS(Statistical Package for the Social Sciences) statistics 18 for correlation analysis.

• Proceedings of the KWS Conference
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• 2009.11a
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• pp.29-29
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• 2009

On this research, laser welding technology for manufacturing automobile body is studied. Laser welding technology is one of the important technologies used in the manufacturing of lighter, safer automotive bodies at a high level of productivity; the leading automotive manufacturers have replaced spot welding with laser welding in the process of car body assembly. Korean auto manufacturers are developing and applying the laser welding technology using a high output power Nd:YAG laser and a 6-axes industrial robot. On the other hand, the robot-based remote laser welding system was equipped with a long focal laser scanner system in robotic end effect. Laser system, robot system, and scanner system are used for realizing the high speed laser welding system. The remote laser welding system and industrial robotic system are used to consist of robot-based remote laser welding system. The robot-based remote laser welding system is flexible and able to improve laser welding speed compared with traditional welding as spot welding and laser welding. The robot-based remote laser systems used in this study were Trumpf's 4kW Nd:YAG laser (HL4006D) and IPG's 1.6kW Fiber laser (YLR-1600), while the robot systems were of ABB's IRB6400R (payload:120kg) and Hyundai Heavy Industry's HX130-02 (payload:130kg). In addition, a study of quality evaluation and monitoring technology for the remote laser welding was conducted. The welding joints of steel plate and steel plate coated with zinc were butt and lapped joints. The quality testing of the laser welding was conducted by observing the shape of the beads on the plate and the cross-section of the welded parts, analyzing the results of mechanical tension test, and monitoring the plasma intensity and temperature by using UV and IR detectors. Over the past years, Trumf's 4kW Nd:YAG laser and ABB's IRB6400R robot system was used. Nowadays, the new laser source, robot and laser scanner system are used to increase the processing speed and to improve the efficiency of processes. This paper proposes the robot-based remote laser welding system as a means of resolving the limited welding speed and accuracy of conventional laser welding systems.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.1
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• pp.17-27
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• 2018

We propose a new approach to control a biped robot motion based on iterative learning of voice command for the implementation of smart factory. The real-time processing of speech signal is very important for high-speed and precise automatic voice recognition technology. Recently, voice recognition is being used for intelligent robot control, artificial life, wireless communication and IoT application. In order to extract valuable information from the speech signal, make decisions on the process, and obtain results, the data needs to be manipulated and analyzed. Basic method used for extracting the features of the voice signal is to find the Mel frequency cepstral coefficients. Mel-frequency cepstral coefficients are the coefficients that collectively represent the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. The reliability of voice command to control of the biped robot's motion is illustrated by computer simulation and experiment for biped walking robot with 24 joint.

• Journal of the Korean Society of Industry Convergence
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• v.18 no.4
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• pp.259-266
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• 2015

This study presents new scheme for various walking pattern of biped robot under the limitted enviroments. We show that the neural network is significantly more attractive intelligent controller design than previous traditional forms of control systems. A multilayer backpropagation neural network identification is simulated to obtain a learning control solution of biped robot. Once the neural network has learned, the other neural network control is designed for various trajectory tracking control with same learning-base. The main advantage of our scheme is that we do not require any knowledge about the system dynamic and nonlinear characteristic, and can therefore treat the robot as a black box. It is also shown that the neural network is a powerful control theory for various trajectory tracking control of biped robot with same learning-vase. That is, we do net change the control parameter for various trajectory tracking control. Simulation and experimental result show that the neural network is practically feasible and realizable for iterative learning control of biped robot.

• Journal of the Korea Computer Industry Society
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• v.2 no.8
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• pp.1035-1044
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• 2001

The existing search engine cause heavy loads on web servers and networks, because they operate robots not considering the loads of many distributed diverse web servers and networks. As the information update period is 3～4 weeks, information is not updated at proper time. Although there is no contents to be updated on web servers, the robot collects and updates the contents of the web servers. This study proposes a intelligential search engine considering the load of web servers and networks, designs a real-time controlled search engine and intelligent robots, and implements them. The intelligent robot updates distributed information real-time. Robot control policies are also proposed, which can upgrade the overall performance of the system by monitoring the loads of web servers and networks.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.1
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• pp.25-37
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• 2024

The objective of this study was to create intelligent rail robots that are optimized for facility management and implement digital twin systems for smart road tunnel management. An autonomous surveillance system is formed by combining the sensing platform consisting of railing robots, fixed cameras and environmental detection sensors with the digital twin data platform technology for tunnel monitoring and early fire suppression. In order to develop mobile rail robots for fire extinguishing, we also designed and manufactured robots for extinguishing & monitoring and fire extinguishing devices, and then we examined the optimization of all parts. Our next step was to build a digital twin for road tunnel management by developing continuous image display system and implementing 3D modeling. After constructing prototypes, we attempted simulations by configuring abnormal symptom scenarios, such as vehicles fires. This study's proposal proposes high-accuracy risk prediction services that will enable intelligent management of risks in the tunnel with early response at each stage, using the data collected from the intelligent rail robots and digital twin systems.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.43-46
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• 2001

This thesis proposes the design method of intelligent robot agent system and deals with the implementation of the system which is able to produce key internet statistics. It is believed that the statistics lead to effective investment from internet industry on its development. The system consists of robot agent process module, statistics production module and management module, and has an algorithm that can produce periodically the number of domestic homepages, active domain using .kr or gTLD and intenet hosts. It provides the result of the implementation and performance of the system as well.

• Journal of the Korean Society of Industry Convergence
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• v.19 no.2
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• pp.88-94
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• 2016

In this paper, we describe a new approch to control method of a four joints-robot gripper for the purpose of parts assemblying. The robot gripper is specifically modeled by using a 3D CAD program (ANSYS), considering artificial grippers, and then the proposed control method is illustrated through the dynamic simulation tool (Adams). Each gripper finger is individually controlled to be located at the optimal positions where the maximal joint torque can be calculated. To verified the effectiveness of the proposed control method, we proposed two cases for the reference position of gripper. By comparing the control performance of two method, the performance of the proposed control method was verified.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.846-850
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• 2008

Technologies related to sealed-type ultrasonic sensors and driving circuit modules for them are the key elements for intelligent robot industry. Those technologies are believed to yield a drastic enhancement of the performance measuring distances in the intelligent robot systems. Modulization technologies of ultrasonic sensors are expected to develop ASIC and MEMS technologies in the future. The size of domestic market for sealed-type ultrasonic sensor modules is expected to grow to 1 billion and 5.72 billion Won by 2008 and 2012, respectively. Recent interest to service robots and government-driven programs are promoting the rapid growth of the market for the service robots. Successful application of the sealed-type ultrasonic modules to the service robots is expected to replace the conventional photo-sensors in a near future.

• Journal of the Korean Society of Industry Convergence
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• v.20 no.1
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• pp.34-48
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• 2017

This study proposes a new approach to control a trajectory control of vertical type articulated robot arm with six revolution joints by computed torque method for manufacturing process automation. The proposed control scheme takes advantage of the properties of the fuzzy controllers. The proposed method is suitable to control of the trajectory and path control in cartesian space for vertical type articulated robot manipulator for forging manufacturing process automation. The results is illustrated that the proposed fuzzy computed torque controller is more stable and robust than the conventional computed torque controller. This study is included with an analytical methodology of inverse kinematic computation for 6 DOF manipulators. And an intelligent PID based on feed forward fuzzy control structure is applied to control the working path control with disturbances caused by uncertainty parameters of the manipulator dynamic model. Lastly, the validity of proposed is verified by simulations and experiments.