• 제어로봇시스템학회논문지
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• 제15권7호
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• pp.720-727
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• 2009

This paper proposes a new integrated navigation system for a mobile robot in indoor environments. This system consists of five frameworks which are classified by function. This architecture can make the navigation system scalable and flexible. The robot can recover from exceptional situations, such as environmental changes, failure of entering the narrow path, and path occupation by moving objects, using the exception recovery framework. The environmental change can be dealt with using the probabilistic approach, and the problems with the narrow path and path occupation are solved using the ray casting algorithm and the Bayesian update rule. The proposed navigation system was successfully applied to several robots and operated in various environments. Experimental results showed good performance in that the exception recovery framework significantly increased the success rate of navigation. The system architecture proposed in this paper can reduce the time for developing robot applications through its reusability and changeability.

• 제어로봇시스템학회논문지
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• 제13권2호
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• pp.108-113
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• 2007

The robot introduced in this paper is the Fire-Extinguishing Rescue Robot for indoor work which is considered to be a part of the Operation for Future Developmental Power. It is briefly introduced about the background of how we began this project, our goals, where we are today and what we would like to achieve from now on. Main contents include introduction to the equipments for Fire-Extinguishing Rescue robots that have been developed in advanced countries and the compositional concept of the developmental process, the GUI schematic, searching methods for fire inside a house, mechanical schematic and the present conditions of how the core technologies are developing through.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2008년도 춘계학술논문발표회 논문집
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• pp.163-167
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• 2008

Fire-fighters are struggling against heat and dense smoke by fire when it occurs at the basement or the inner place of a building. An indoor fire-fighting robot with well heat-resistance, great searching cameras and good extinguishing ability has been developed. It never suffocate, coming into the fire district and extinguishes fire directly. In this study, several experiment was conducted to evaluate field working ability of the fire-fighting robot. As a result, a series of passing obstacles, finding fire place and fire suppression by the remote controlling with image information appeared satisfactory.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2581-2584
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• 2003

In this paper, we propose a self-localization algorithm using vertical line segments. Indoor environment is consist of horizontal and vertical line features such as doors, furniture, and so on. From the input image, vertical line edges are detected by an edge operator, Then, line segments are obtained by projecting edge image vertically and detecting local maximum from the projected histogram. From the relation of horizontal position of line segments and the location of the robot, nonlinear equations are come out Localization is done by solving the equations by using Newton's method. Experimental results show that the proposed algorithm using one camera is simple and applicable to indoor environment.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.152-152
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• 2000

In this paper, we propose a new approach to intelligent motion and autonomous maneuvering of mobile robots using hybrid system. In high Level, the discrete states are defined by using the sensor-based search windows and the reference motions of a mobile robot as a low vevel are specified in the abstracted motions, The mobile robots can perform both the motion planning and autonomous maneuvering with obstacle avoidance in indoor navigation problem. Simulation and experimental results show that hybrid system approach is an effective method for the autonomous maneuvering in indoor environments.

• 한국전자통신학회논문지
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• 제17권3호
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• pp.537-542
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• 2022

실내 공기질에 관한 관심과 중요성이 커지고 있으나 현재의 고정된 장비를 이용한 실내 공기질 측정 방법에는 한계가 있다. 본 논문에서는 이동 중 요철에 의한 진동을 최소화하여 탑재된 센서를 보호하기 위해 소형 다족형 로봇에 공기질 측정 장비를 탑재하여 이동형 공기질 측정 로봇을 개발하였다. 개발한 이동형 공기질 측정 로봇은 간단한 보행 메커니즘을 활용하여 DC 모터 두 개의 정회전과 역회전 조합만으로 로봇의 전진, 후진, 좌우 선회가 가능하다. 로봇의 보행이나 보행 궤적을 제어하기 위해 복잡한 연산이 필요치 않고 하나의 아두이노를 사용해 로봇의 보행 제어 및 다양한 공기질 측정 장비의 데이터 획득과 전송을 할 수 있었다. 로봇 전장부의 소모 전력이 낮아 비교적 저용량의 배터리를 탑재하여 배터리로 인한 무게를 줄일 수 있었다. 개발한 로봇은 몸통에 배터리와 모터를 포함하여 다양한 공기질 측정 장비를 탑재하고 1.4kg의 무게를 가지며, 보행 및 선회 속도는 3.75cm/sec와 14.13rad/sec로 측정되었다. 다리의 최대 수직 도달 높이는 33mm였으나, 요철은 최대 24mm 높이까지 극복할 수 있었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1448-1451
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• 2004

Position estimation is one of the most important functions for the mobile robot navigating in the unstructured environment. Most of previous localization schemes estimate current position and pose of mobile robot by applying various localization algorithms with the information obtained from sensors which are set on the mobile robot, or by recognizing an artificial landmark attached on the wall, or objects of the environment as natural landmark in the indoor environment. Several drawbacks about them have been brought up. To compensate the drawbacks, a new localization method that estimates the absolute position of the mobile robot by using a fixed camera on the ceiling in the corridor is proposed. And also, it can improve the success rate for position estimation using the proposed method, which calculates the real size of an object. This scheme is not a relative localization, which decreases the position error through algorithms with noisy sensor data, but a kind of absolute localization. The effectiveness of the proposed localization scheme is demonstrated through the experiments.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.372-374
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• 2009

In this research, an obstacle avoidance method is proposed. The common usage of a robot is indoor and the obstacles to the indoor robot is studied. The accurate detection of direction after overcoming the obstacles is necessary for performance of autonomous navigation and mission project. The sensors such as Laser, Ultrasound, PSD can be used to measure the obstacles. In this research, a PSD sensor is used to detect obstacles. It detects the height and width of obstacles located on the floor. Before measuring the obstacles, a calibration of the sensor was done and it produced a better accuracy. We have plotted an error graph using data obtained from the repeated experiments. The graph is fitted to a polynomial curve. The polynomial equation is used for the robot navigation. And in this research, a model of the error of the direction of the robot after overcoming obstacles was obtained also. The prototype of the obstacle and the error of the direction after overcoming the obstacles are modelled using a neural networks. The input of the neural network composed with the height of the obstacles, the speed of robot, the direction of wheels and the error of the direction. To implement the suggested algorithm, we set up a robot which is operated by a notebook computer. Experiment showed the suggested algorithm performed well.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.8-11
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• 2021

본 논문은 실내환경에서 로봇의 센싱영역을 벗어난 곳에 위치하는 사용자에게 접근하여 배달서비스를 제공하기 위해 로봇의 최적 위치를 추정하는 방법을 제안한다. 먼저, 사용자의 위치를 추정하기 위해 비콘-태그 모듈정보에 삼변측량법을 적용하여 실내환경에서 위치를 추정하였고, 사용자 추정위치로부터 최적의 로봇 이동목표(Goal)를 설정하기 위해 보로노이 그래프(GVG)의 생성 노드정보를 기반으로 사용자 위치, 장애물, 이동경로 정보의 연산을 통해 최종 위치를 추정하였다. 실제 로봇플랫폼의 목적지 이동을 통해 해당 서비스로봇의 위치정밀도를 검증하였다.

• 전기학회논문지P
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• 제60권2호
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• pp.63-67
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• 2011

This paper presents the mobile robot control based on vision system. The proposed vision based controller consist of the camera tracking controller and the formation controller. Th e camera controller has the adaptive gain based on IBVS. The formation controller which is designed in the sense of the Lyapunov stability follows the leader. Simluation results show that the proposed vision based mobile robot control is validated for indoor mobile robot applications.