• 제어로봇시스템학회논문지
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• 제14권8호
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• pp.800-808
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• 2008

This paper presents a localization algorithm of the outdoor wheeled mobile robot using the sensor fusion method based on indirect Kalman filter(IKF). The wheeled mobile robot considered with in this paper is approximated to the two wheeled mobile robot. The mobile robot has the IMU and encoder sensor for inertia positioning system and GPS. Because the IMU and encoder sensor have bias errors, divergence of the estimated position from the measured data can occur when the mobile robot moves for a long time. Because of many natural and artificial conditions (i.e. atmosphere or GPS body itself), GPS has the maximum error about $10{\sim}20m$ when the mobile robot moves for a short time. Thus, the fusion algorithm of IMU, encoder sensor and GPS is needed. For the sensor fusion algorithm, we use IKF that estimates the errors of the position of the mobile robot. IKF proposed in this paper can be used other autonomous agents (i.e. UAV, UGV) because IKF in this paper use the position errors of the mobile robot. We can show the stability of the proposed sensor fusion method, using the fact that the covariance of error state of the IKF is bounded. To evaluate the performance of proposed algorithm, simulation and experimental results of IKF for the position(x-axis position, y-axis position, and yaw angle) of the outdoor wheeled mobile robot are presented.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.276-279
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• 2009

최근 선박의 안전과 작업환경 개선을 위해 선박 자동화 시스템을 도입하고 있다. IMO에서 표준기술 및 안전관리측면의 규제를 강화하여 해상안전과 해상 화재 방지를 위하여 노력을 하고 있으나 해양사고와 선박화재는 계속 발생하고 있다. 본 논문에서는 선박의 화재에서 Robot을 이용하여 Risk에 대응하고 관리하는 연구를 하였다. Robot의 Risk대응을 위한 화재 감지 센서를 부착하고, Robot에서 장착되어 수행되는 적외선 센서, TOUCH SWITCH, 소리감지 센서, 가스 감지 센서, 빛감지 센서를 이용하여 Robot을 컨트롤 하였으며, Robot에게 Risk 대응을 지시 할 때의 소리출력 사용과 DC MOTOR의 속도와 COM SEN에 Low~High 값을 설정하여 Robot의 Risk 대응관리 동작을 설정하였다.

• 제어로봇시스템학회논문지
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• 제22권9호
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• pp.716-722
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• 2016

Coordinate estimation is an essential function for autonomous navigation of a mobile robot. The optical mouse sensor is convenient and cost-effective for the coordinate estimation problem. It is possible to overcome the position estimation error caused by the slip and the model mismatch of robot's motion equation using the optical mouse sensor. One of the simple methods for the position estimation using the optical mouse sensor is integration of the velocity data from the sensor with time. However, the unavoidable noise in the sensor data may deteriorate the position estimation in case of the simple integration method. In general, a mobile robot has ready-to-use motion information from the encoder sensors of driving motors. By combining the velocity data from the optical mouse sensor and the motion information of a mobile robot, it is possible to improve the coordinate estimation performance. In this paper, a coordinate estimation algorithm for an autonomous mobile robot is presented based on the well-known Kalman filter that is useful to combine the different types of sensors. Computer simulation results show the performance of the proposed localization algorithm for several types of trajectories in comparison with the simple integration method.

• 한국정밀공학회지
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• 제26권12호
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• pp.78-84
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• 2009

When external force is applied to humanoid robot's head, humanoid robot's neck is rotated to prevent the damage of it. So, robot's neck have to perceive forces (Fx of x-direction, Fy of y-direction and Fz of z-direction) and moments (Mx of x-direction, My of y-direction and Mz of z-direction) using the attached 6-axis force/moment sensor. Thus, in this paper, 6-axis force/moment sensor was developed to sense the forces and moments applied to robot's head. The structure of 6-axis force/moment sensor was modeled newly, and it was designed using FEM software (ANSYS) and manufactured by attaching straingages on the sensing element, finally, the characteristic test of the sensor was carried out. As a result, it is confirmed that interference error is less than 3%. And, it is thought that the sensor can be used to measure the forces and the moments for humanoid robot's head.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2002년도 춘계학술대회 논문집
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• pp.480-485
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• 2002

The purpose of this paper is the development of guidance algorithm for a mobile robot which is used to acquire the position and state information of the pipe defects such as crack, damage and through hole. The data used for the algorithm is the range data obtained by the range sensor which is based on an optical triangulation method. The sensor, which consists of a laser slit beam and a CCD camera, measures the 3D profile of the pipe's inner surface. After setting the range sensor on the robot, the robot is put into a pipe. While the camera and the LSB sensor part is rotated about the robot axis, a laser slit beam (LSB) is projected onto the inner surface of the pipe and a CCD camera captures the image. From the images the range data is obtained with respect to the sensor coordinate through a series of image processing and applying the sensor matrix. After the data is transformed into the robot coordinate, the position and orientation of the robot should be obtained in order to guide the robot. In addition, analyzing the data, 3D shape of the pipe is constructed and the numerical data for the defects of the pipe can be found. These data will be used for pipe maintenance and service.

• 한국산학기술학회논문지
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• 제4권3호
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• pp.284-288
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• 2003

본 논문에서는 유궤도 이동로봇의 이점을 활용하고 궤도의 유연성을 높여주기 위해 금속 테잎형태의 유궤도를 갖는 이동로봇 시스템을 제작하였다 제작된 무인 운반용 이동로봇은 초음파 및 광(적외선)센서가 탑재된 센서부, 모터 및 엔코더로 이루어진 모터부. 사용자 인터페이스부, 중앙제어부, 컴퓨터 인터페이스부로 구성된다. 초음파센서를 이용하여 이동 경로상의 장애물을 감지하고, 광(적외선)센서를 이용하여 금속 테잎의 궤도를 정확히 감지하여 원하는 위치에 이동할 수 있도록 하였다 개발된 유궤도 이동로봇은 금속 테잎형태의 궤도를 사용함으로써 궤도의 유연성을 높여줄 백만 아니라 무인 이동로봇들의 하드웨어적 소프트웨어적인 비용을 상당부분 절감할 수 있도록 하였다.

• 센서학회지
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• 제26권2호
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• pp.114-121
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• 2017

This paper describes the design and fabrication of a three-axis force sensor with parallel plate beams (PPSs) for measuring the calf force while a patient with a walking assist robot is walking. Current walking assist robots can't measure the weight of the patient's leg and the robot's leg which required for robot control. So, the three-axis force sensor in the calf link is designed and manufactured, it is composed of a Fx force sensor, a Fy force sensor and a Fz force sensor. The three-axis force sensor was designed using by FEM(Finite Element Method), and fabricated using strain-gages. The characteristics experiment of the three-axis force sensor was carried out respectively. The test results indicated that the repeatability error and the non-linearity error of three-axis force sensor was less than 0.04% respectively. Therefore, the fabricated three-axis force sensor in the calf link can be used to measure the patient's calf force in the walking assist robot.

• 제어로봇시스템학회논문지
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• 제16권3호
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• pp.239-244
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• 2010

This paper is to present map building of mobile robot using RFID (Radio Frequency Identification) technology and ultrasonic sensor. For mobile robot to perform map building, the mobile robot needs its localization and accurate driving in space. In this reason, firstly, kinematic modeling of mobile robot under non-holonomic constrains is introduced. Secondly, based on this modeling, a tracking controller is designed for tracking a given path based on backstepping method using Lyapunov function. The Lyapunov function is also introduced for proving the stability of the designed tracking controller. Thirdly, 2D map building is performed by RFID system, mobile robot system and ultrasonic sensors. The RFID mobile robot system is composed of DC motor, encoder, ultra sonic sensor, digital compass, RFID receiver and RFID antenna. Finally, the path tracking simulation results and map building experimental results are presented to show the effectiveness of the designed controller.

• 문화기술의 융합
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• 제6권4호
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• pp.747-752
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• 2020

지역 모니터링에 사용되는 센서 네트워크는 광범위한 지역에 설치되므로, 시스템의 유지 관리가 문제가 되어 왔다. 이 연구에서는 로봇을 이용하여 센서 네트워크에 에너지를 공급하는 시스템을 제시하고, 센서 네트워크의 에너지 소모율, 로봇의 에너지 전달률, 로봇의 이동 거리 등을 변수로 하여 센서 네트워크의 유지 조건을 규명하였다. 수식을 이용한 수치 검증과 로봇 충전 시뮬레이션 검증을 통해, 도출된 시스템 유지 조건이 타당함을 보이고, 실제 충전 실험을 통해 로봇을 이용한 센서 네트워크 유지 관리 방법의 실현 가능성을 검증하였다.

• 로봇학회논문지
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• 제16권4호
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• pp.291-298
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• 2021

In this study, we present a multi-sensor module for snake robot searching survivors in a narrow space. To this end, we integrated five sensor systems by considering the opinions of the first responders: a gas sensor to detect CO₂ gases from the exhalation of survivors, a CMOS camera to provide the image of survivors, an IR camera to see in the dark & smoky environment, two microphones to detect the voice of survivors, and an IMU to recognize the approximate location and direction of the robot and survivors. Furthermore, we integrated a speaker into the sensor module system to provide a communication channel between the first responders and survivors. To integrated all these mechatronics systems in a small, compact snake head, we optimized the positions of the sensors and designed a stacked structure for the whole system. We also developed a user-friendly GUI to show the information from the proposed sensor systems visually. Experimental results verified the searching function of the proposed sensor module system.