• 대한조선학회 특별논문집
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• 대한조선학회 2008년도 특별논문집
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• pp.136-143
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• 2008

This paper presents the application of a robot which aims at grinding automatically welding-bead remained in the removal job of working pieces for shipbuilding. In specific, the investigation on this application is composed of two parts; one topic is on the development of a robot platform vertically movable on a steel plate of hull, while the other topic is of the development of a grinding tool mechanism in order to remove welding-beads by using a diamond wheel installed on a servo cylinder (which can result in high working pressure on the grinding wheel). Besides, the development of a vision system for tracking welding-beads as well as recognizing welding surfaces is added for the convenience of this robot application to the removal of welding-beads remained in the working pieces for shipbuilding.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2002년도 추계종합학술대회
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• pp.457-461
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• 2002

위해환경에서 동작되는 화상로봇에 대한 개발에 관하여 서술하였다. 개발된 로봇은 크게 로봇 제어부와 Host PC 에서의 Visual I/F program으로 구성되어 있다 개발된 로봇의 구동부와 Camera의 구동부는 2자유도를 갖고 있으며 유저 친화적으로 개발된 Joystick으로 원격조종된다. 외부 상황은 비젼 시스템과 초음파 센서로 인식되며, 화상 및 센서 데이터, 명령어 등을 각각 900MHz와 447MHz RF로 통신된다. 개발된 시스템의 효율성을 100m범위의 야외 시험장에서 운용되어 검사되었다.

• 대한안전경영과학회지
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• 제23권4호
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• pp.93-104
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• 2021

In this paper, we propose a method for diagnosing overload and working load of collaborative robots through performance analysis of machine learning algorithms. To this end, an experiment was conducted to perform pick & place operation while changing the payload weight of a cooperative robot with a payload capacity of 10 kg. In this experiment, motor torque, position, and speed data generated from the robot controller were collected, and as a result of t-test and f-test, different characteristics were found for each weight based on a payload of 10 kg. In addition, to predict overload and working load from the collected data, machine learning algorithms such as Neural Network, Decision Tree, Random Forest, and Gradient Boosting models were used for experiments. As a result of the experiment, the neural network with more than 99.6% of explanatory power showed the best performance in prediction and classification. The practical contribution of the proposed study is that it suggests a method to collect data required for analysis from the robot without attaching additional sensors to the collaborative robot and the usefulness of a machine learning algorithm for diagnosing robot overload and working load.

• 한국콘텐츠학회논문지
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• 제20권5호
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• pp.79-89
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• 2020

본 연구는 인공지능 로봇이 높은 수준의 음악적 창작물을 제시할 때 로봇과 인간과의 협업정보 유무와 함께 로봇과의 비교영역의 자기관련성 정도가 사용자의 로봇에 대한 시기심, 창작한 음악에 대한 예술성의 평가와 태도, 그리고 향후 창작 음악을 사용하고 로봇과 협업할 의도에 미칠 영향을 검증했다. 2(비교영역 자기관련성: 낮음(음악 비전공자) vs. 높음(음악 전공자)) × 2(작업유형: 로봇 홀로 작업 vs. 로봇과 인간의 협업)의 집단 간 요인 설계 실험으로 진행하였다. 연구 결과, 자기관련성이 높았던 음악 전공자들에 비해 자기관련성이 낮았던 비전공자들이 로봇의 능력에 대하여 더 높은 시기심을 갖고 있는 것으로 나타났다. 그러나 음악 전공자들은 로봇이 창작한 음악의 예술성을 더 낮게 평가했고, 음악에 대한 태도도 더 비호의적이었고, 향후 음악을 사용할 의도와 로봇과 협업할 의도를 더 낮게 보고 했다. 한편, 인간과의 협업 정보 여부는 시기심을 비롯한 종속변인에 유의미한 영향을 주지 않았다.

• Journal of Advanced Marine Engineering and Technology
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• 제36권1호
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• pp.118-125
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• 2012

본 논문은 가설 와이어 케이블 동적모델과 장력유지/이동 제어를 위한 작업로봇의 제어기 설계에 대하여 나타내었다. 제어기 설계를 위해서 로봇이 가설 와이어 케이블의 일정장력을 유지하고 당기면서 이동할 때 와이어의 길이 변화와 무게 변하의 영향을 고려한 와이어 동적모델을 나타내었다. 또한 와이어 동적모델에 기초하여 로봇 이동 시작에서 발생하는 장력이 수치해석에 의해 검토되었다. 가설 와이어 동적 모델에 기초하여 장력/이동제어를 위한 작업로봇이 구성되었고 두 동작이 서로 간섭이 억제되는 피드포워드 제어기가 설계되었다. 작업 로봇의 운전조건에 따른 시뮬레이션과 실제 실험결과는 그 유효성이 검증되었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.499-501
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• 2004

This paper deals with the implementation of a quadruped working robot using wireless sensor network with TinyOS. It is often required to install real time OS and wireless network in the mobile robot field since robots work alone without human intervention and also exchanging their information between robot systems. The suggested controller utilizes a built-in wireless network OS and makes the variance action related with human-kindly motions for a quadruped walking robot. In addition, a kinematics analysis of its structure and control architecture of robot system is suggested and verified the usefulness through the real experiment.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2008년도 정기 학술대회
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• pp.178-183
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• 2008

A robot crane truck is being developed by the Bridge Inspection Robot Development Interface(BRIDI) for an automated and/or teleoperated bridge inspection. At the end of the telescoping boom allows the operator to scan the bridge structure under the deck trough the camera. Boom vibration induced by wind and deck movement can cause serious problems in this scanning system. This paper presents a control system to mitigate such vibration of the robot boom In the proposed control system an actuator is installed at the end of the working boom. This control system is studied using a mathematical model analysis with LQ control algorithm and a scaled model test in the laboratory. The study indicates that the proposed system is efficient for the vibration control of the robot booms, thereby demonstrating its immediate applicability in the field.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.179.4-179
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• 2001

Most of shoes manufacturing processes are not yet automated, it puts restrictions on increasing of productivity. Among them, adhesive application processes particularly are holding the most workers and working hours. In addition, its working conditions are very poor due to the toxicity of adhesive agents. In case of automating adhesive application processes by using robots, the robot teaching by playback is difficult to produce high productivity because the kinds of shoes to be taught mount up to several thousands. Therefore, it is essential to generate the robot working paths automatically according to the kind, the size, and the right and left of shoes, and also to teach them to the robot automatically ...

• 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.

• 로봇학회논문지
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• 제6권3호
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• pp.255-262
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• 2011

Many intelligent robots have to be given environmental information to perform tasks. In this paper an intelligent robot, that is, a cleaning robot used a sensor fusing method of two sensors: LRF and StarGazer, and then was able to obtain the information. Throughout wall following using laser displacement sensor, LRF, the working area is built during the robot turn one cycle around the area. After the process of wall following, a path planning which is able to execute the work effectively is established using flow network algorithm. This paper describes an algorithm for minimal turning complete coverage path planning for intelligent robots. This algorithm divides the whole working area by cellular decomposition, and then provides the path planning among the cells employing flow networks. It also provides specific path planning inside each cell guaranteeing the minimal turning of the robots. The proposed algorithm is applied to two different working areas, and verified that it is an optimal path planning method.