• 제어로봇시스템학회논문지
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• 제20권9호
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• pp.922-929
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• 2014

Wind turbines are in the limelight in the alternative energy industry. However, they face frequent and various problems during operation. We focused on the supervising of the blades of a wind turbine. In this paper, we present the design of a maintenance robot that takes the size of wind turbine blades into consideration, so the general form of the robot is a square with four wires fixed to its vertices and to the nacelle. After the robot is placed near the nacelle, it moves along the blades. We also designed an attitude control algorithm for the robot to maintain its balance. Our control algorithm for the robot consists of roll and pitch attitude controllers and a height controller. Each controller was designed independently and then superposed together. We used simulations to verify our control algorithm.

• 한국시뮬레이션학회논문지
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• 제17권4호
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• pp.249-257
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• 2008

본 논문에서는 로봇 한 대를 중심으로 여러 설비들이 제어되는 Flexible Manufacturing Cell(FMC)에서 로봇의 대기위치 선정과 작업물 선택 의사결정을 위하여 Q-learning 알고리즘을 응용한 방법을 제시하였다. 이를 위해 하나의 로봇과 다수의 설비로 구성된 전형적인 가상의 FMC를 시뮬레이션으로 설계, 제안한 알고리즘을 적용하여 다른 대안과의 비교 분석을 실시하였다. 비교결과 적용된 알고리즘이 로봇가동률을 높여 평균 처리시간, 총 처리량 모두 향상시키는 결과를 가져왔다. 또한, 이 방법은 본 논문에서 제시한 정보뿐 아니라 그 우선순위와 가중치에 따라 다른 정보들을 손쉽게 추가하여 적용할 수 있으므로 FMC의 생산성 향상에도 크게 기여할 것으로 기대된다.

• 전기전자학회논문지
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• 제25권2호
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• pp.337-343
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• 2021

심층 강화학습은 학습자가 가공되지 않은 고차원의 입력 데이터를 기반으로 최적의 행동을 선택할 수 있게 하는 인공지능 알고리즘이며, 이를 이용하여 장애물들이 존재하는 환경에서 모바일 로봇의 최적 이동 경로를 생성하는 연구가 많이 진행되었다. 본 논문에서는 복잡한 주변 환경의 이미지로부터 모바일 로봇의 이동 경로를 생성하기 위하여 우선 순위 경험 재사용(Prioritized Experience Replay)을 사용하는 Dueling Double DQN(D3QN) 알고리즘을 선택하였다. 가상의 환경은 로봇 시뮬레이터인 Webots를 사용하여 구현하였고, 시뮬레이션을 통해 모바일 로봇이 실시간으로 장애물의 위치를 파악하고 회피하여 목표 지점에 도달하는 것을 확인하였다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2002년도 춘계학술대회 논문집
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• pp.561-566
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• 2002

This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 추계학술대회(한국공작기계학회)
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• pp.146-151
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• 2001

This paper proposed trajectory tracking control of Mobile Robot. Trajectory tracking control scheme are Real coding Genetic-Algorithm and Back-propergation Algorithm. Control scheme ability experience proposed simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.3095-3097
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• 1999

A New path planning using modified DT(distance transform) algorithm for a remote mobile robot is proposed. The weakness of DT algorithm is that the generated path is not the best path of all possible paths. Modified DT algorithm proposed can compensate for the weakness of DT algorithm, but the operating time of the proposed is longer than that of DT algorithm.

• 로봇학회논문지
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• 제3권3호
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• pp.237-244
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• 2008

Nowadays, research on human-robot interaction has been getting increasing attention. In the research field of human-robot interaction, speech signal processing in particular is the source of much interest. In this paper, we report a speaker localization system with six microphones for a humanoid robot called MAHRU from KIST and propose a time delay of arrival (TDOA)-based feature matrix with its algorithm based on the minimum sum of absolute errors (MSAE) for sound source localization. The TDOA-based feature matrix is defined as a simple database matrix calculated from pairs of microphones installed on a humanoid robot. The proposed method, using the TDOA-based feature matrix and its algorithm based on MSAE, effortlessly localizes a sound source without any requirement for calculating approximate nonlinear equations. To verify the solid performance of our speaker localization system for a humanoid robot, we present various experimental results for the speech sources at all directions within 5 m distance and the height divided into three parts.

• 대한임베디드공학회논문지
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• 제3권2호
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• pp.66-73
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• 2008

The pipes have been laid underground while the industry is developing. We have to take maintenance procedure when the pipes are cracked or ruptured. It is very difficult jop to check pipe's crack because the pipes are narrow and laid underground. Using in-pipe robot, we can check the conditions of inner section of pipes, therefore, we designed a crawler type robot to search cracked pipe. In this paper, we have made a special focus on the control of the robot using differential drive algorithm to move in curved section of pipes. The detailed design of the robot with experimental result show the effectiveness of the robot in pipe maintenance.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.256-261
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• 2005

In this research, we propose a path-planning algorithm for an autonomous mobile robot using geographical information, under the condition that the robot moves in unknown environment. All image inputted by camera at every sampling time are analyzed and geographical elements are recognized, and the geographical information is embedded in environmental map. The geographical information was transformed into 1-dimensional evaluation value that expressed the difficulty of movement for the robot. The robot goes toward the goal searching for path that minimizes the evaluation value at every sampling time. Then, the path is updated by integrating the exploited information and the prediction on unexploited environment. We used a sensor fusion method for improving the mobile robot dead reckoning accuracy. The experiment results that confirm the effectiveness of the proposed algorithm on the robot's reaching the goal successfully using geographical information are presented.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.130.1-130
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• 2001

In this paper, a motion control algorithm is developed using a fuzzy control and the optimization of performance function, which makes a robot arm avoid an unexpected obstacle when the end-effector of the robot arm is moving to the goal position. During the motion, if there exists no obstacle, the end-effector of the robot arm moves along the pre-defined path. But if there exists an obstacle and close to the robot arm, the fuzzy motion controller is activated to adjust the path of the end-effector of the robot arm. Then, the robot arm takes the optimal posture for collision avoidance with the obstacle. To show the feasibility of the developed algorithm, numerical simulations are carried out with changing both the positions and sizes of obstacles. It was concluded ...