• Title/Summary/Keyword: robot teaching

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Development of Robot Simulator for Palletizing Operation Management S/W and Fast Algorithm for 'PLP' (PLP 를 위한 Fast Algorithm 과 팔레타이징 작업 제어 S/W 를 위한 로봇 시뮬레이터 개발)

  • Lim, Sung-Jin;Kang, Maing-Kyu;Han, Chang-Soo;Song, Young-Hoon;Kim, Sung-Rak;Han, Jeong-Su;Yu, Seung-Nam
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.31 no.5
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    • pp.609-616
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    • 2007
  • Palletizing is necessary to promote the efficiency of storage and shipping tasks. These are, however some of the most monotonous, heavy and laborious tasks in the factory. Therefore many types of robot palletizing systems have been developed, but many robot motion commands still depend on the teaching pendent. That is, an operator inputs the motion command lines one by one. It is very troublesome, and most of all, the user must know how to type the code. That is why we propose a new GUI (Graphic User Interface) Palletizing System. To cope with this issue, we proposed a 'PLP' (Pallet Loading Problem) algorithm, Fast Algorithm and realize 3D auto-patterning visualization interface. Finally, we propose the robot palletizing simulator. Internally, the schematic of this simulator is as follows. First, an user inputs the physical information of object. Second, simulator calculates the optimal pattern for the object and visualizes the result. Finally, the calculated position data of object is passed to the robot simulator. To develop the robot simulator, we use an articulated robot, and analyze the kinematics and dynamics. Especially, All problem including thousands of boxes were completely calculated in less than 1 second and resulted in optimal solutions by the Fast Algorithm.

Compensation of robot manipulator uncertainties using back propagation neural network (역전파 신경회로망에 의한 로봇 팔의 불확실성 보상)

  • Lee, Sang-Jae;Lee, Seok-Won;Nam, Boo-Hee
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.4
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    • pp.312-317
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    • 1996
  • This paper proposes a neural network controller with the computed torque method. The neural network is used not to learn the inverse dynamic model but to compensate the uncertainties of robotic manipulators. When training the neural network, we use the signals present in the proposed controller, which is simpler than that proposed by Ishiguro et al., whose teaching signals of the neural network come from the robot model.

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A Short-Term Experimental Class for Robotics Education

  • Lee, Jae Hoon;Okamoto, Shingo
    • Journal of Engineering Education Research
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    • v.15 no.5
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    • pp.19-24
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    • 2012
  • Robots have been attracting students' interest recently. Therefore, they are a good way to motivate to study related subjects. However, there are difficulties in teaching general students because a wide background is required to understand the fundamentals of robotics. In order to teach robotics fundamentals to beginners in a short period, an effective experimental class, including several phased experiments, is proposed in this paper. A portable two-DOF robot arm system with servo motors was developed for experiments, and the operation method based on kinematics was introduced for its operation. The effectiveness of the class was investigated by using a questionnaire after carrying it out in a university class for junior students.

Optimization of Robot Welding Process of Subassembly Using Genetic Algorithm in the Shipbuilding (유전자 알고리즘을 이용한 조선 소조립 로봇용접공정의 최적화)

  • Park, Ju-Yong;Seo, Jeong-Jin;Kang, Hyun-Jin
    • Journal of Welding and Joining
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    • v.27 no.2
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    • pp.57-62
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    • 2009
  • This research was carried out to improve the productivity in the subassembly process of shipbuilding through optimal work planning for the shortest work time. The work time consist of welding time, moving time of gantry, teaching time of robot and robot motion time. The shortest work time is accomplished by even distribution of work and the shortest welding sequence. Even distribution of work was done by appling the simple algorithm. The shortest work sequence was determined by using GA. The optimal work planning decreased the total work time of the subassembly process by 4.1%. The result showed the effectiveness of the suggested simple algorithm for even distribution of work and GA for the shortest welding sequence.

Initialization Problem of Indoor Mobile Robots with Artificial Stars (인공 별을 이용한 실내주행로봇의 초기화 문제)

  • Bang, Sung-Kee;Kim, Jin-Oh
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.804-809
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    • 2007
  • Initialization problem is defined for indoor mobile robot as a whole process from arrival to normal operation in a new environment. The unstructured environment make the process much more difficult compared to industrial robot in structured environments. We propose a simple and efficient initialization process based on artificial stars on ceiling. Important task points and paths connecting task points are defined based on the corresponding artificial stars. This approach can be used for all kinds of indoor mobile robots with landmarks used for indoor localization.

A Development of Blind Force Control of Robot for Grind Automation (사상 자동화를 위한 로봇의 Blind Force Control 기술 개발)

  • Lee Woo-Won;Park Chan-Ho;Lim Kye-Young
    • Proceedings of the KIPE Conference
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    • 2006.06a
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    • pp.158-162
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    • 2006
  • A lot of pieces of iron plate are used to build a ship. The states of cutting surface of iron are however bended or ununiformly cuttled by cutting machine. These may cause bad Quality of painting, and shorter lifetime of iron by rust. In this paper, a new approach of grinding force control method which teaching of robot is not required is proposed to avoid long preparation time of robot and to improve the productivity. The way used in this paper is just like a blind man works through the road with stick only.

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차체 스폿트 용접 공정에서의 컴퓨터 이용 로보트 시뮬레이션 및 오프-라인 티칭 시스템

  • 남동길;김재선;백범만
    • 전기의세계
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    • v.39 no.6
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    • pp.35-41
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    • 1990
  • Computer Aided Robot Simulation & Off-Line Teaching System개발은 CIM의 중추적 역할을 담당하고 제품설계 단계에서부터 생산으로 이어지는 Top-Down적 flow를 구축했다는데 의의가 있으며, 본 적용 과정을 통해 Off-Line Syste의 문제점 및 한계를 인식하고 반드시 극복해야될 과제를 얻었다는 성과가 있었다.

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NC Program Generation Using Off-Line Teaching of Deburring Path

  • Kim, Sun-Ho;Park, Kyoung-Taik;Lee, Man-Hyung
    • International Journal of Precision Engineering and Manufacturing
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    • v.1 no.1
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    • pp.118-126
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    • 2000
  • Die-casting burr to casting process is removed by post-process for assembly and quality control of product. Though robot has been widely used for deburring job before. CNC exclusive machine is currently developed for high power, high speed machining and quick tool change. Deburring tool path with complex 3D curve type is defined to make out deburring NC program. But there is no efficient method to define it currently used methods with teaching probe on machine. In this study the efficient method to make out deburring NC program is developed. 5-axis digitizing machine is used to receive data of deburring path. And the post process for NC program generation is developed in consideration of the machining conditions. The developed system is not dependent on the skill of operator and has the advantage to maintain the flexibility of job to modify NC program due to the wear of tool and aging of the die casting.

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