• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2002.05a
• /
• pp.466-469
• /
• 2002

Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

• Journal of Institute of Control, Robotics and Systems
• /
• v.6 no.6
• /
• pp.471-477
• /
• 2000

The position control accuracy of a robot arm is significantly deteriorated when a long arm robot is operated at a high speed. In this case, the robot arm must be modeled as a flexible structure, not a rigid one, and its control system should be designed with its elastic modes taken into account. In this paper, the tip position control scheme of a one-link flexible manipulator using 2-DOF controller with sliding mode is presented. The robot consists of a flexible arm manufactured with a thin aluminium plate, an AC servo motor with a harmonic drive for speed reduction, an optical encoder and a CCD camera as a vision sensor for on-line measuring the tip deflection of the flexible m. Simulation and experimental results of the flexible manipulator with a proposed controller are provided to show the effectiveness of the controller.

• Transactions of the Korean Society of Machine Tool Engineers
• /
• v.16 no.2
• /
• pp.37-43
• /
• 2007

In this paper, laser vision sensor is used to detect some defects any $co_{2}$ welded specimen in hardware. But, as the best expression of defects of welded specimen, the concept of segment splitting method and mean distance are introduced in software. The developed GUI software is used for deriding whether any welded specimen makes as proper shape or detects in real time. The criteria are based upon ISO 5817 as limits of imperfections in metallic fusion welds.

• Proceedings of the KIEE Conference
• /
• 2005.07d
• /
• pp.2783-2786
• /
• 2005

본 논문은 레이저 비젼 센서를 이용하여 측정 대상의 3차인 위치 정보를 측정하기 위한 방법을 제안하였으며, 이를 이용한 측정 시스템을 개발하였다. 레이저센서는 물체의 평면방정식을 찾기 위해 사용되었으며, 측정된 물체의 평면의 방정식과 Camera를 이용한 물체 위치 정보와 함께 측정 대상의 3차원 정보를 얻는다. 이러한 고정밀 고속 계측을 위한 레이저 모듈 및 소프트웨어를 개발하고 전용 JIG장치에 의하여 측정하던 방식을 Robot과 Laser Vision Sensor를 이용하여 자동으로 측정하는 시스템을 구현하였다.

• Journal of Welding and Joining
• /
• v.14 no.2
• /
• pp.96-105
• /
• 1996

Robot systems are widely utilized in the shipbuilding industry to enhance the productivity by automating the welding process. In order to increase productivity, it is necessary to reduce the time used for robot teaching. In this work, the automatic teaching system is developed for the subassembly process in the shipbuilding industry. A alser/vision sensor is designed to detect the weld seam and the image of the fillet joint is processed using the arm method. Positions of weld seams defined in the CAD database are transformed into the robot coordinate, and the dynamic programming technique is applied to find the sub-optimum weld path. Experiments are carried out to verify the system performance. The results show that the proposed automatic teaching system performs successfully and can be applied to the robot system in the subassembly process.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.729-734
• /
• 2005

One of the important research issues in mobile robot is how to detect the 3D environment fast and accurately, and recognize it. Sensing methods of utilizing laser structured light and/or stereo vision are representatively used among a number of methodologies developed to date. However, the methods are still in need of achieving high accuracy and reliability to be used for real world environments. In this paper to implement a new robotic environmental sensing algorithm is presented by combining the information between intensity image and that of laser structured light image. To see how effectively the algorithm applied to real environments, we developed a sensor system that can be mounted on a mobile robot and tested performance for a series of environments.

• The Transactions of the Korean Institute of Electrical Engineers
• /
• v.38 no.12
• /
• pp.971-982
• /
• 1989

An integrating position estimation algorithm has been developed for the navigation system of a free-ranging AGV system. The navigation system focused in this research work consists of redundant wheel encoders for the relative position measurement and a vision sensor for the absolute position measurement. A maximum likelihood method and an extended Kalman filter are implemented for enhancing the performance of the position estimator. The maximum likelihood estimator processes noisy, redundant wheel encoder measurements and yields efficient estimates for the AGV motion between each sampling interval. The extended Kalman filter fuses inharmonious positional data from the deadreckoner and the vision sensor and computes the optimal position estimate. The simulation results show that the proposed position estimator solves a generalized estimation problem for locating the vehicle accurately in space.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.118.4-118
• /
• 2001

An Inspection system, composed of sensor head and controller, is presented which is a 3-D laser vision system using principles of optical triangulation for weld quality and chamfer quality. The sensor head id composed of laser diode, micro CCD camera, filter and several optical components. This systems can be used in welding bead and undercut inspection and chamfer quality inspection as well. It is mech more convenient to use and the inspection time is to be greatly shortened compared with conventional inspection method. Furthermore, data saved in controller can be used for statistics afterwards. This system has been begin used in Koje Shipyard of Samsung Heavy Industries and the need is being increased.

• Proceedings of the KWS Conference
• /
• 2005.06a
• /
• pp.324-325
• /
• 2005

The primary aim of this paper is to develop an automated welding system capable of adapting to variation in the weld seam center in order to allow higher welding speeds and improved welding quality by using a laser vision sensor. The system is designed to compensate for production problems such as pipe ovality, variation in bevel geometry and track misalignment.

• International Journal of Control, Automation, and Systems
• /
• v.3 no.1
• /
• pp.15-31
• /
• 2005

Nowadays, the road safety is an important research field. One of the principal research topics in this field is the vehicle localization in the road network. This article presents an approach of multi sensor fusion able to locate a vehicle with a decimeter precision. The different informations used in this method come from the following sensors: a low cost GPS, a numeric camera, an odometer and a steer angle sensor. Taking into account a complete model of errors on GPS data (bias on position and nonwhite errors) as well as the data provided by an original approach coupling a vision algorithm with a precise numerical map allow us to get this precision.