• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.461-462
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• 2013

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.80-81
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• 2005

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.113-118
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• 2018

The most important thing in vocational education and training is to enhance students' interest and understanding of the whole process of the production site. In this paper, we present a case on the implementation of tele-operation robot hand by learning factory based technology convergence education. It also suggests some points to be taken when applying the learning factory in the future curriculum. In order to implement the tele-operation robot hand, it is necessary to support the compulsory subjects of university level courses in domestic curriculum such as mechanic design, motor control, local communication implementation, sensing and feedback control. The educational research presented in this paper guides the students with the skills they need and understands the skills through self-study and practice, and implements the final products. This study will be useful as a base data when introducing the training process of training factory in the future.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1511-1515
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• 2004

Machine vision system plays an important role in factory automation. Its many applications are found in automobile manufacturing industries, as an eye for robotic automation system. In this paper, an automobile position measuring vision system(APMVS) applicable to manufacturing line for under body painting of a car is introduced. The APMVS measures position and orientation of the car body to be sealed or painted by the robots. The configuration of the overall robotic sealing/painting system, design and application procedure, and application examples are described.

• Journal of the Korea Institute of Building Construction
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• v.7 no.3
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• pp.67-73
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• 2007

Increasing wages and decreasing skilled labors are problems awaiting solution. The development of automatic technologies contributes to accelerating the one of construction automation. Thus, this study is to suggest the way to develop the automated building construction system base on one performed in Japan in order to solve urgent problems of construction industry in Korea. Therefore interviews and questionnaires were performed based on experts who work for the automated building construction system field and analyzed through analytic hierarchy process. In doing so, it was the most important factor to develop a branch of automatic, mechanical or machine technologies for the automated building construction system. Especially the study indicated the importance of the technologies to substitute skilled labors such as a robot. This research could contribute to developing the automated building construction which is very unique and suitable for construction industry in Korea.

• 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.

• International Journal of Control, Automation, and Systems
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• v.2 no.4
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• pp.485-493
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• 2004

Open-loop position estimation methods are commonly used in mobile robot applications. Their strength lies in the speed and simplicity with which an estimated position is determined. However, these methods can lead to inaccurate or unreliable estimates. Two position estimation methods are developed in this paper, one using a single optical flow sensor and a second using two optical sensors. The first method can accurately estimate position under ideal conditions and also when wheel slip perpendicular to the axis of the wheel occurs. The second method can accurately estimate position even when wheel slip parallel to the axis of the wheel occurs. Location of the sensors is investigated in order to minimize errors caused by inaccurate sensor readings. Finally, a method is implemented and tested using a potential field based navigation scheme. Estimates of position were found to be as accurate as dead-reckoning in ideal conditions and much more accurate in cases where wheel slip occurs.

• Journal of Drive and Control
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• v.14 no.3
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• pp.25-31
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• 2017

This study presents a methodology for simulating a unified approach that controls interaction force between tool and objective by using a synthesis method of robot interacting control law for stabilizing the transient process of motion. Root locus is used to analyze stabilization of motion deviation characteristics. Based on responses of motion deviation, contact force is derived to satisfy exponential stability and we generate control input with respect to motion trajectories and interaction force. Moreover, simulation is applied to experimental application of a Cartesian robot driven by two stepper motors, and the noise of feedback signals is considered as presence of system inaccuracies, and the unified approach of interaction force control is examined precisely.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.317-318
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• 2007

One of the important factors of the autonomous mobile robot is to build a map for surround environment and estimate its localization. This paper suggests a sensor fusion method of laser range finder and monocular vision sensor for the simultaneous localization and map building. The robot observes the comer points in the environment as features using the laser range finder, and extracts the SIFT algorithm with the monocular vision sensor. We verify the improved localization performance of the mobile robot from the experiment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.2 no.3
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• pp.303-308
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• 1998

As the technology of industrial automation using robot system grows the rapid advance, productivity improvement and decrease in number of maintenance, management occur in many fields. Therefore, more various and intelligent robot motions are needed without human being help. Considering this situation, the need of robot with various, fast and safe acting sensors are demanded. In these sensings, the slippage sensing gives us specific information between ripper and object while grasps the object. In this paper, we proposed new slippage sensing algorithm for various and intelligent robot motion. So, optimal grasping force control and compensation of position error is possible for an adaptive task execution using adaptive control.