• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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• pp.558-560
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• 1998

The operation of robot manipulators has a restriction that the operator must reside at the factory, where the manipulator is used. To overcome this restriction, we propose a remote control system using the internet, the system which runs on the Window 95 environment is composed of the remote client which transfers commands to the server which control and manage the manipulator in the factory. In the control of Hong-ik Direct Drive Arm, it is necessary to consider the complex nonlinear parameters causing the mutual interaction between joints, so we use two TMS320C31 DSP chips in the controller for the real time dynamic control algorithms. For the test of system integrity and the verification of the mathematical modeling, we apply CTM, PD and VSS control algorithms and the simulation results are satisfactory.

• International Journal of Control, Automation, and Systems
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• 제6권1호
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• pp.62-75
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• 2008

Vision-based simultaneous localization and map building using a single camera, while compelling in theory, have not until recently been considered extensive in the practical realm of the real world. In this paper, we propose a simple framework for the monocular SLAM of an indoor mobile robot using natural line features. Our focus in this paper is on presenting a novel approach for modeling the landmark before integration in monocular SLAM. We also discuss data association improvement in a particle filter approach by using the feature management scheme. In addition, we take constraints between features in the environment into account for reducing estimated errors and thereby improve performance. Our experimental results demonstrate the feasibility of the proposed SLAM algorithm in real-time.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.830-835
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• 2003

This paper describes a sonic polygonal multiple reflection range sensor (SPMRS), which uses multiple reflection properties usually ignored in ultrasonic sensors as disturbances or noises. Targets such as a plane, corner, edge, or cylinder in indoor environments can easily be detected by the multiple reflection patterns obtained with a SPMRS system. Target classification and feature data extraction, such as distance and azimuth to the target, are computed simultaneously by considering the geometrical relationships between the detected targets, and finally the environment model is generated by refining the detected targets. In addition, the narrow field of view of a sonar range sensor is increased and the scanning time is reduced by active motion of the SPMRS stepping servomechanism.

• Journal of Positioning, Navigation, and Timing
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• 제12권1호
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• pp.67-73
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• 2023

As interest in underwater structures and ocean exploration increases, many researchers are proposing methods for modeling and controlling various remotely operated vehicles (ROVs). Recently, hybrid systems composed of an autonomous underwater vehicle and an ROV capable of remote control and autonomous navigation are being developed. In this study we introduce a method that models Ariari-aROV, an ROV consisting of five thrusters, and performs navigation. The proposed ROV can be controlled manually and by autonomous navigation when given a target point. An extended Kalman filter is utilized for sensor measurement correction for more precise navigation. The proposed method is verified through a simulation.

• Steel and Composite Structures
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• 제47권4호
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• pp.513-521
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• 2023

The goal of this work is to create a new and improved GWO (Grey Wolf Optimizer), the so-called Robot GWO (RGWO), for dynamic and static target tracking involving multiple robots in unknown environmental conditions. From applying ourselves with the Gray Wolf Optimization Algorithm (GWO) and how it works, as the name suggests, it is a nature-inspired metaheuristic based on the behavior of wolf packs. Like other nature-inspired metaheuristics such as genetic algorithms and firefly algorithms, we explore the search space to find the optimal solution. The results also show that the improved optimal control method can provide superior power characteristics even when operating conditions and design parameters are changed.

• 로봇학회논문지
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• 제19권1호
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• pp.39-44
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• 2024

This study introduces a novel method for predicting the shape of soft catheter robots embedded with electromagnets. As an advancement in the realm of soft robotics, these catheter robots are crafted from flexible and pliable materials, ensuring enhanced safety and adaptability during interactions with human tissues. Given the pivotal role of catheters in minimally invasive surgeries (MIS), our design stands out by facilitating active control over the orientation and intensity of the inbuilt electromagnets. This ensures precise targeting and manipulation of the catheter segments. The research encompasses a comprehensive breakdown of the magnetic modeling, tracking algorithms, experimental layout, and analytical techniques. Both simulation and experimental results validate the efficacy of our method, underscoring its potential to augment accuracy in MIS and revolutionize healthcare-oriented soft robotics.

• Nuclear Engineering and Technology
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• 제55권11호
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• pp.4282-4286
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• 2023

Nuclear energy is estimated by the machine learning method as the mathematical quantifications where neural networking is the major algorithm of the data propagations from input to output. As the aspect of nuclear energy, the other energy sources of the traditional carbon emission-characterized oil and coal are compared. The artificial intelligence (AI) oriented algorithm like the intelligence of a robot is applied to the modeling in which the mimicking of biological neurons is utilized in the mathematical calculations. There are graphs for nuclear priority weighted by climate factor and for carbon dioxide mitigation weighted by climate factor in which the carbon dioxide quantities are divided by the weighting that produces some results. Nuclear Priority and CO2 Mitigation values give the dimensionless values that are the comparative quantities with the normalization in 2010. The values are 1.0 in 2010 of the graphs which are changed to 24.318 and 0.0657 in 2040, respectively. So, the carbon dioxide emissions could be reduced in this study.

• 한국건설관리학회논문집
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• 제12권6호
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• pp.130-141
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• 2011

2006년부터 한국에서 개발중인 지능형 굴삭 시스템(IES)은 이동, 굴삭, 상차를 포함하는 굴삭 작업 일련의 과정을 전자동으로 실현하기 위한 프로젝트로서, 굴삭 로봇 주변 지형의 3차원 모델링과 상차트럭의 위치, 사람의 접근, 이동경로상의 장애물 등의 객체를 정확하게 탐지하는 기술은 굴삭 자동화 장비의 작업 품질과 안전성 확보 측면에서 필수적으로 요구되는 핵심 요소 기술이라 할 수 있다. 이 연구의 목적은 레이저 스캐닝 시스템을 이용하여 지능형 굴삭 로봇 주변의 지형과 객체를 3차원으로 탐지함으로써 자동화 굴삭 작업의 품질과 안전성을 확보하는 데 있다. 본 연구에서는 굴삭기 주변의 3차원 지형으로부터 객체의 위치, 높이, 너비, 형상 정보를 추출하는 알고리즘을 제안하였으며, 실제 토공현장을 대상으로 한 실험을 통하여 알고리즘의 성능을 검증하였다.

• 한국태양에너지학회 논문집
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• 제34권4호
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• pp.123-129
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• 2014

Photovoltaic and fuel cell systems can be used as power source in mobile robots. At this time the photovoltaic system generally generate power in daytime. The starting time of fuel cell is slower than the lithium battery. To compensate for these disadvantages, a battery charge-discharge system is used. Especially the bi-directional converter is used mainly in the charge-discharge method. The controller in a buck converter controls the input voltage of the converter to meet the maximum power point tracking(MPPT) performance. First of all, the simulations of hybrid system for battery charge-discharge system in each step simulated using solar and fuel cell modeling as input source in PSIM. Experiment of the buck and bi-directional converter system is conducted through using photovoltaic/fuel cel simulator(pCube) instead of solar and fuel cell. This hybrid system for battery charge discharge using photovoltaic/fuel cell generates emergency power for the communication system in mobile robot.

• 전자공학회논문지SC
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• 제45권6호
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• pp.26-34
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• 2008

차량의 접근 가능한 구역에 대한 판단과 경로 계획은 무인 차량의 자율 주행에 있어서 필수적이다 차량의 접근 가능한 구역과 경로계획을 위한 정보는 3차원 지형형상을 분석하여 얻을 수 있다. 이 논문에서는 카메라의 색 정보와 2차원 레이저 거리센서(2D LRF)를 융합하여 모바일 로봇의 휠 인코더를 통해 복원한 3차원 지형형상과, GPS/IMU 정보와 2차원 레이저 거리 센서로 복원한 3차원 지형형상을 적은 데이터로 표현하는 방법을 제시하였다. 카메라의 색 정보와 2차원 레이저 거리센서의 융합을 위해 카메라의 좌표계와 LRF의 좌표계 사이의 기하학적인 관계를 격자무의 평면을 이용하여 구하였다. 카메라와 2차원 레이저 거리센서의 융합을 통한 3차원 지형형상 복원은 모바일 로봇을 이용하여 실내에서 실험하였고, GPS/IMU 정보와 2차원 레이저 거리센서를 통한 3차원 지형형상 복원은 차량을 이용하여 실외에서 실험하였다. 이런 시스템에서 복원한 3차원 지형형상은 점군 기반으로 되어있고, 이는 매우 많은 양의 정보를 필요로 한다. 정보의 양을 줄이기 위해 점군 기반을 대신하여 입방형 격자 기반의 지형형상으로 복원하였다.