• Title/Summary/Keyword: Robot Control Data

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Development of a Position Finding System for a Reactor Inspection Robot (원자로 검침 로봇의 위치 파악 시스템 구현)

  • Kim, Myung-Hwan;Lee, Seung-Min;Lee, Nam-Ho;Kim, Seung-Ho;Lee, Heung-Ho
    • Proceedings of the KIEE Conference
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    • 2004.07d
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    • pp.2665-2667
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    • 2004
  • This paper presents a study of a position finding system for a reactor inspection robot. The position of PSD(Position Sensitive Detector) sensor is calculated by the degree of pan-tilt and the difference in height between pan-tilt and PSD. For that, the DSP which control pan-tilt is used for precise operation and the PIC microcontroller process PSD sensor data that indicate light incident position. A user using computer can acquire the conditions of pan-tilt and PSD.

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Impedance characteristic of human arm for cooperative robot

  • Rahman, Mozasser;Ikeura, Ryojun;Mizutani, Kazuki
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.85.3-85
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    • 2002
  • In this study, we tried to investigate the impedance characteristic of human arm in a cooperative task. Human arm was moved in a desired trajectory. The motion was actuated by a 1 degree-of-freedom robot system. As the muscle is mechanically analogous to a spring-damper system, a second-order equation was considered as the model for arm dynamics. In the model, inertia, stiffness and damping factor were considered. The impedance parameter was estimated from the position and torque data obtained from the experiment and based on the "Estimation of Parametric Model". It was found that the inertia is almost constant over the operational time. The damping factor and stiffness were high...

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Learning soccer robot using genetic programming

  • Wang, Xiaoshu;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.292-297
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    • 1999
  • Evolving in artificial agent is an extremely difficult problem, but on the other hand, a challenging task. At present the studies mainly centered on single agent learning problem. In our case, we use simulated soccer to investigate multi-agent cooperative learning. Consider the fundamental differences in learning mechanism, existing reinforcement learning algorithms can be roughly classified into two types-that based on evaluation functions and that of searching policy space directly. Genetic Programming developed from Genetic Algorithms is one of the most well known approaches belonging to the latter. In this paper, we give detailed algorithm description as well as data construction that are necessary for learning single agent strategies at first. In following step moreover, we will extend developed methods into multiple robot domains. game. We investigate and contrast two different methods-simple team learning and sub-group loaming and conclude the paper with some experimental results.

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An Efficient Architecture on a Sink-node for an Intelligence Robot in USN Environment (USN 환경에서 동작하는 지능형 로봇을 위한 효율적 싱크노드 아키텍처 구현)

  • Choi, Byoung-Wook;Shin, Dong-Gwan;Yi, Soo-Yeong
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.160-162
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    • 2007
  • The systems for assisted living and convenience of user real-time requirement in data communication among devices. therefore, it system was requirement to implementation of the hardware which guarantees the real-time to load the high-performance processor with suitable Operation System. This paper apply to operated intelligence robot in USN(Ubiquitous Sensor Network) environment, particularly, it is architecture research for guarantees the real-time of a sink-node that collect various sensor information from sensors and sending to main control unit.

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A Study on MYO-based Motion Estimation System Design for Robot Control (로봇 원격제어를 위한 MYO 기반의 모션 추정 시스템 설계 연구)

  • Chae, Jeongsook;Cho, Kyungeun
    • Journal of Korea Multimedia Society
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    • v.20 no.11
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    • pp.1842-1848
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    • 2017
  • Recently, user motion estimation methods using various wearable devices have been actively studied. In this paper, we propose a motion estimation system using Myo, which is one of the wearable devices, using two Myo and their dependency relations. The estimated motion is used as a command for remotely controlling the robot. Myo's Orientation and EMG signals are used for motion estimation. These two type data sets are used complementarily to increase the accuracy of motion estimation. We design and implement the system according to the proposed method and analyze the results through experiments. As a result of comparison with previous studies, the accuracy of motion estimation can be improved by about 12.3%.

A Dedicated CAM for Welding Automation System in Assembly Line at Shipyards (조선 대조립 용접라인의 CAD/CAM 시스템 적용)

  • Kim, Eun-Jung;Lee, Si-Youl;Kim, Byung-Su;Park, Jin-Hyung;Park, Young-Jun
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1757-1762
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    • 2003
  • For coping with various ship types easily, welding automation using CAD/CAM is demanded and and developed. In this paper we propose a dedicated CAM system which generates MACRO files to control robot manipulators. The paper contains CAD interface, virtual simulation, macro generation and job schedulling. At first, it defines and extracts weldline from CAD data, and generates proper MACRO programs. And it obtains optimum job schedules. This system removes the manual work, and consequently reduces the overall lead time. And it reduces costs and time for developing robot welding programs. This can be expanded to virtual factory simulation technology. Moreover, it is possible to apply this system for automation of Cutting and Painting

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A Hybrid Method for Mobile Robot Probabilistic Localization Using a Single Camera

  • Kubik, Tomasz;Loukianov, Andrey A.
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.36.5-36
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    • 2001
  • Localization is one of the key problems in the navigation of autonomous mobile robots. The probabilistic Markov localization approaches offer a good mathematical framework to deal with the uncertainty of environment and sensor readings but their use for realtime applications is limited by their computational complexity. This paper aims to reduce the high computational cost associated with the probabilistic Markov localization algorithm. We propose a hybrid landmark-based localization method combining triangulation and probabilistic approaches, which can efficiently update position probability grid, while the probabilistic framework allows to make use of any available sensor data to refine robot´s belief about its current location. The simulation results show the effectiveness and robustness of the method.

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Usability Evaluation and Derivation of Improvement for Care Robots to Prevent Pressure Injury (욕창예방 돌봄로봇의 사용성 평가 및 개선사항 도출)

  • Min-jung Kim;Yong-Soon Shin
    • The Journal of Korea Robotics Society
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    • v.18 no.4
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    • pp.409-418
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    • 2023
  • The purpose of this study is to evaluate the usability of the care robots to prevent pressure injury and to present directions for improvement. Thirty-two caregivers of severely disabled people and older adults with mobility difficulties participated in this study. They used the care robot in a real care environment for 2 weeks and conducted pre and post-care interviews. Based on the interview results, improvements were derived through the technical modeling method of care robots. Considering the circumstances in which caregivers take care of a large number of patients in nursing homes and hospitals, it is necessary to ensure the convenience and safety of remote control and side rail operation of the care robots to prevent pressure injury. We expect that the results of this study will be used as basic data for development of care robots to prevent pressure injury.

A Study on Real-time Control of Bead Height and Joint Tracking Using Laser Vision Sensor

  • Kim, H. K.;Park, H.
    • International Journal of Korean Welding Society
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    • v.4 no.1
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    • pp.30-37
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    • 2004
  • There have been continuous efforts on automating welding processes. This automation process could be said to fall into two categories, weld seam tracking and weld quality evaluation. Recently, the attempts to achieve these two functions simultaneously are on the increase. For the study presented in this paper, a vision sensor is made, a vision system is constructed and using this, the 3 dimensional geometry of the bead is measured on-line. For the application as in welding, which is the characteristic of nonlinear process, a fuzzy controller is designed. And with this, an adaptive control system is proposed which acquires the bead height and the coordinates of the point on the bead along the horizontal fillet joint, performs seam tracking with those data, and also at the same time, controls the bead geometry to a uniform shape. A communication system, which enables the communication with the industrial robot, is designed to control the bead geometry and to track the weld seam. Experiments are made with varied offset angles from the pre-taught weld path, and they showed the adaptive system works favorable results.

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Research of the Unmanned Vehicle Control and Modeling for Lane Tracking (차선인식을 위한 무인자동차의 차량제어 및 모델링에 관한 연구)

  • 김상겸;임하영;김정하
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.6
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    • pp.213-221
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    • 2003
  • This paper describes a method of lane tracking by means of a vision system which includes vehicle control and modeling. Lane tracking is considered one of the important technologies in an unmanned vehicle and mobile robot system. The current position and condition of the vehicle are calculated from an image processing method by a CCD camera. We deal with lane tracking as follows. First, vehicle control is included in the road model, and lateral and longitudinal controls. Second, the image processing method deals with the lane detection method, image processing algerian, and filtering method. Finally, this paper proposes a correct method for lane detection through a vehicle test by wireless data communication.