• 대한기계학회논문집A
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• 제33권6호
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• pp.545-551
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• 2009

A small guard robot working indoors or outdoors can be used to report various information on its environment to an operator. The guard robot should be small-sized and lightweight to increase its portability. In addition, it should be able to overcome a relatively high obstacle to cope with various situations. To satisfy these requirements, this paper presents a small robot equipped with a novel hybrid wheel and track mechanism that can select wheels or tracks depending on the situation. The robot folds the tracks into the body in the wheel mode and only wheels are active with the tracks immobilized, which results in the fast moving speed. In the track mode, the tracks are extended to keep in contact with the ground. Furthermore, this research proposes the belt length maintenance mechanism by which the belt length is kept constant in either the wheel or track mode. Various experiments demonstrate that the proposed robot can move fast by using wheels on the smooth terrain and overcome obstacles by using tracks on the rough terrain.

• Wind and Structures
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• 제20권3호
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• pp.423-448
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• 2015

In this paper the unsteady fluid-structure interaction (FSI) problems with large structural displacement are solved by partitioned solution approaches in the arbitrary Lagrangian-Eulerian finite element framework. The incompressible Navier-Stokes equations are solved by the characteristic-based split (CBS) scheme. Both a rigid body and a geometrically nonlinear solid are considered as the structural models. The latter is solved by Newton-Raphson procedure. The equation governing the structural motion is advanced by Newmark-${\beta}$ method in time. The dynamic mesh is updated by using moving submesh approach that cooperates with the ortho-semi-torsional spring analogy method. A mass source term (MST) is introduced into the CBS scheme to satisfy geometric conservation law. Three partitioned coupling strategies are developed to take FSI into account, involving the explicit, implicit and semi-implicit schemes. The semi-implicit scheme is a mixture of the explicit and implicit coupling schemes due to the fluid projection splitting. In this scheme MST is renewed for interfacial elements. Fixed-point algorithm with Aitken's ${\Delta}^2$ method is carried out to couple different solvers within the implicit and semi-implicit schemes. Flow-induced vibrations of a bridge deck and a flexible cantilever behind an obstacle are analyzed to test the performance of the proposed methods. The overall numerical results agree well with the existing data, demonstrating the validity and applicability of the present approaches.

• 융합보안논문지
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• 제6권3호
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• pp.37-47
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• 2006

본 논문에서는 필립스사의 지자기센서를 블루투스 통신시스템에 연결하여 방위각을 $5^{\circ}$ 단위로 전후 방향으로 기울기 각도를 변화시켜 $360^{\circ}$를 측정하였다. 측정된 방위값은 100M 이내에서 이동하면서 측정값을 블루투스 통신시스템으로 전송하여 측정값을 분석하였다. 블루투스를 이용하여 전파 장애가 없는 평지에서 직선거리 100M 이내에서 방위 측정값은 에러 없이 전송할 수 있었다. 지자기센서를 수평을 유지하면 98%의 신뢰를 가지는 방위측정값을 얻었다. 본 연구를 바탕으로 기울기를 가지는 지형을 이동하는 이동형 지능로봇에 장착 정확도가 향상된 방위 측정값을 전송하여 이동형 로봇의 방위추적을 할 수 있다.

• 한국정밀공학회지
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• 제15권1호
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• pp.78-86
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• 1998

This paper presents a numerical method of the minimum-time trajectory planning for a robot manipulator amid obstacles. Each joint displacement is represented by the linear combination of the finite-term quintic B-splines which are the known functions of the path parameter. The time is represented by the linear function of the same path parameter. Since the geometric path is not fixed and the time is linear to the path parameter, the coefficients of the splines and the time-scale factor span a finite-dimensional vector space, a point in which uniquely represents the manipulator motion. The displacement, the velocity and the acceleration conditions at the starting and the goal positions are transformed into the linear equality constraints on the coefficients of the splines, which reduce the dimension of the vector space. The optimization is performed in the reduced vector space using nonlinear programming. The total moving time is the main performance index which should be minimized. The constraints on the actuator forces and that of the obstacle-avoidance, together with sufficiently large weighting coefficients, are included in the augmented performance index. In the numerical implementation, the minimum-time motion is obtained for a planar 3-1ink manipulator amid several rectangular obstacles without simplifying any dynamic or geometric models.

• 한국정밀공학회지
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• 제25권12호
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• pp.65-74
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• 2008

This paper deals with the path creation for stable action of a robot and transformation by using the fuzzy algorithm. Also, the obstacle detection and environmental analysis are performed by a stereo vision device. The robot decides the range and the height using the fuzzy algorithm. Therefore the robot can be adapted in topography through a transformation by itself. In this paper, the robot is designed to have two advantages. One is the fast movability in flat topography with the use of wheels. The other is the moving capability in uneven ground by walking. It has six leg forms for a stable walk. The wheels are fixed on the legs of the robot, so that various driving is possible. The height and the width of robot can be changed variously using four joints of each leg. The wheeled joint has extra DOF for a rotation of vertical axis. So the robot is able to rotate through 360 degrees. The robot has various sensors for checking the own state. The stable action of a robot is achieved by using sensors. We verified the result of research through an experiment.

• 로봇학회논문지
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• 제8권1호
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• pp.43-50
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• 2013

$A^*$ algorithm is a global path generation algorithm, and typically create a path using only the distance information. Therefore along the path, a moving vehicle is usually not be considered by driving characteristics. Deceleration at the corner is one of the driving characteristics of the vehicle. In this paper, considering this characteristic, a new evaluation function based path algorithm is proposed to decrease the number of driving path corner, in order to reduce the driving cost, such as driving time, fuel consumption and so on. Also the potential field method is applied for driving of UGV, which is robust against static and dynamic obstacle environment during following the generated path of the mobile robot under. The driving time and path following test was occurred by experiments based on a pseudo UGV, mobile robot in downscaled UGV's maximum and driving speed in corner. The experiment results were confirmed that the driving time by the proposed algorithm was decreased comparing with the results from $A^*$ algorithm.

• Korean Journal of Geomatics
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• 제1권1호
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• pp.69-74
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• 2001

In conventional photogrammetry, three-dimensional coordinates are obtained from two consecutive images of a stationary object photographed from two exposure stations, separated by a certain distance. However, it is impossible to photograph moving objects from two stations with one camera at the same time. Various methods to overcome this obstacle were devised e. g. taking the left and right scenes simultaneously with one camera using a beam splitter attached to the front, thus creating a stereo scene in one image. A beam splitter consists of two outer mirrors and two inner mirrors. This paper deals with research where the optical principles of the beam splitter were evaluated based on light path phenomena between the outer mirrors and the inner mirrors. A mathematical model of the geometric configuration was derived for the beam splitter. This allows us to design and control a beam splitter to obtain maximum scale and maximum base-height ratio by stepwise application of the mathematical model. The results show that the beam splitter is a very useful tool for stereophotography with one camera. The optimum geometric configurations ensuring maximum scale and base-height ratio are closely related to inner and outer reflector sizes, their inclination angles and the offsets between the outer mirrors.

• 제어로봇시스템학회논문지
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• 제14권3호
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• pp.236-241
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• 2008

This paper presents a method to recognize the plane regions for movement of walking robots. When the autonomous agencies using stereo camera or laser scanning sensor is under unknown 3D environment, the mobile agency has to detect the plane regions to decide the moving direction and perform the given tasks. In this paper, we propose a very fast method for plane detection using normal vector of a triangle by 3 vertices defined on a small circular region. To reduce the effect of noises and outliers, the triangle rotates with respect to the center position of the circular region and generates a series of triangles with different normal vectors based on different three points on the boundary of the circular region. The vectors for several triangles are normalized and then median direction of the normal vectors is used to test the planarity of the circular region. The method is very fast and we prove the performance of algorithm for real range data obtained from a stereo camera system.

• 융합정보논문지
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• 제7권6호
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• pp.229-235
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• 2017

최근 물체를 인식하기 위해 많은 데이터를 기반으로 학습하여 인식하는 연구가 활성화 되고 있다. 본 논문에서는 도로주행 영상에서 장애물이라고 생각되는 객체를 추출하여 자동차, 사람, 오토바이로 구분하여 인식하는 시스템을 제안한다. 이동한 방향과 크기를 고려한 상태에서 광류 추정 알고리즘을 이용하여 객체를 추출하였으며, 추출한 객체를 CNN(Convolutional Neural Network) 인식 모델 중 하나인 AlexNet을 이용하여 인식하였다. 실험을 위해 도로 위의 다양한 영상을 블랙박스로 수집하여 실험하였고, 실험 결과 객체 추출 정확도는 92%, 객체 인식 정확도는 96%의 결과를 보였다.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.539-543
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• 2005

The research presented in this paper enables real-time 3D modeling to help make construction processes ultimately faster, more predictable and safer. Initial research efforts used an emerging sensor technology and proved its usefulness in the acquisition of range information for the detection and efficient representation of static and moving objects. Based on the time-of-flight principle, the sensor acquires range and intensity information of each image pixel within the entire sensor's field-of-view in real-time with frequencies of up to 30 Hz. However, real-time working range data processing algorithms need to be developed to rapidly process range information into meaningful 3D computer models. This research ultimately focuses on the application of safer heavy equipment operation. The paper compares (a) a previous research effort in convex hull modeling using sparse range point clouds from a single laser beam range finder, to (b) high-frame rate update Flash LADAR (Laser Detection and Ranging) scanning for complete scene modeling. The presented research will demonstrate if the FlashLADAR technology can play an important role in real-time modeling of infrastructure assets in the near future.