• Title/Summary/Keyword: Measurement path

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Development of On-the-Machine Measurement(OMM) System (기상측정(機上測定) 시스템 개발)

  • Lee, Seung-Woo;Kim, Sun-Ho
    • IE interfaces
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    • v.11 no.1
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    • pp.199-205
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    • 1998
  • This paper describes the development of on-the-machine measuring(OMM) system which can directly measure the two and three dimensional machined accuracy using a scanning probe in milling machine. Two algorithms, NC program based continuous path(CP) measurement and CAD data assisted point to point(PTP) measurement, are developed for three dimensional measurements, with consideration of the characteristics of the scanning probe. The algorithms are used to develop an auto measuring system. The delveloped system is compared with the CMM (Coordinate Measuring Machine) in terms of accuracy and repeatability. The OMM system is expected to realize measurement time reduction and hence result in high productivity.

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Kinematic model, path planning and tracking algorithms of 4-wheeled mobile robot 2-degree of freedom using gaussian function (4-구륜 2-자유도 이동 로보트의 기구학 모델과 가우스함수를 이용한 경로설계 및 추적 알고리즘)

  • 김기열;정용국;박종국
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.12
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    • pp.19-29
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    • 1997
  • This paper presents stable kinematic modeling and path planning and path tracking algorithms for the poisition control of 4-wheeled 2-d.o.f(degree of freedom) mobile robot. We drived the actuated inverse and sensed forward solution for the calculation of actuator velocity and robot velocities. the deal-reckoning algorithm is introduced to calculate the position of WMR in real time. The gaussian functions are applied to control and to design the smooth orientation angle of WMR and the path planning algorithm for obstacle avoidance is prosed. We composed feedback control system to compensate for error because of uncertainty kinematic modeling and measurement noise. The simulation resutls show that the proposed kinematkc modeling and path planning and feedback control algorithms are useful.

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Application of Air-Borne Noise Path Analysis to a real vehicle (실차에 대한 공기기인 소음경로분석법 적응)

  • Kim, Yoon-Jae;Jeong, Won-Tae;Song, Moon-Seong;Kang, Yeon-June;Kim, Hong-Bin
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.699-702
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    • 2006
  • Noise Path Analysis is commonly used method to analysis noise transmission characteristics of a system. To analysis transfer paths of a system, it is necessary to know operating forces at each transfer path. The method to find out operating forces is divided into two methods. The one is a direct method which measures operating forces directly and the other is an indirect method which estimates operating forces mathematically. However, the indirect method is more commonly used because of the difficulty of measurement. This paper is focused on the indirect method and air-borne noise of a vehicle. Noise Path Analysis for Air-Borne Noise is applied to a real vehicle.

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Multi-Robot Path Planning for Environmental Exploration/Monitoring (미지 환경 탐색 및 감시를 위한 다개체 로봇의 경로계획)

  • Lee, Soo-Yong
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.5
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    • pp.413-418
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    • 2012
  • This paper presents a multi-robot path planner for environment exploration and monitoring. Robotics systems are being widely used as data measurement tools, especially in dangerous environment. For large scale environment monitoring, multiple robots are required in order to save time. The path planner should not only consider the collision avoidance but efficient coordination of robots for optimal measurements. Nonlinear spring force based planning algorithm is integrated with the spatial gradient following path planner. Perturbation/Correlation based estimation of spatial gradient is applied. An algorithm of tuning the stiffness for robot coordination is presented. The performance of the proposed algorithm is discussed with simulation results.

Path Planning for Static Obstacle Avoidance: ADAM III (정적 장애물 회피를 위한 경로 계획: ADAM III)

  • Choi, Heejae;Song, Bongsob
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.3
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    • pp.241-249
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    • 2014
  • This paper presents a path planning algorithm of an autonomous vehicle (ADAM III) for collision avoidance in the presence of multiple obstacles. Under the requirements that a low-cost GPS is used and its computation should be completed with a sampling time of sub-second, heading angle estimation is proposed to improve performance degradation of its measurement and a hierarchical structure for path planning is used. Once it is decided that obstacle avoidance is necessary, the path planning consists in three steps: waypoint generation, trajectory candidate generation, and trajectory selection. While the waypoints and the corresponding trajectory candidates are generated based on position of obstacles, the final desired trajectory is determined with considerations of kinematic constraints as well as an optimal condition in a term of lateral deviation. Finally the proposed algorithm was validated experimentally through field tests and its demonstration was performed in Autonomous Vehicle Competition (AVC) 2013.

Reliability estimation about quality assurance method of radiotherapy planning (방사선치료계획 정도관리 방법에 따른 신뢰도 평가)

  • Kim, Jeong-Ho;Kim, Gha-Jung;Yoo, Se-Jong;Kim, Ki-Jin
    • Journal of the Korea Safety Management & Science
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    • v.17 no.1
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    • pp.119-124
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    • 2015
  • According as radiation therapy technique develops, standardization of radiation therapy has been complicated by the plan QA(Quality Assurance). However, plan QA tools are two type, OADT (opposite accumulation dose tool) and 3DADT (3 dimensional accumulation dose tool). OADT is not applied to evaluation of beam path. Therefore tolerance error of beam path will establish measurement value at OADT. Plan is six beam path, five irradiation field at each beam path. And beam path error is 0 degree, 0.2 degree, 0.4 degree, 0.6 degree, 0.6 degree, 0.8 degree. Plan QA accomplishes at OADT, 3DADT. The more path error increases, the more plan QA error increases. Tolerance error of OADT path is 0.357 using tolerance error of conventional plan QA. Henceforth plan QA using OADT will include beam path error. In addition, It will increase reliability through precise and various plan technique.

Evaluation of Performances for Personal Robots

  • Ahn, Chang-hyun;Kim, Jin-Oh;Yi, Keon-Young;Kim, Jin-Oh
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.117.1-117
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    • 2002
  • $\textbullet$ Evaluation techniques of mobility $\textbullet$ Position characteristics $\textbullet$ Path characteristics $\textbullet$ Evaluation techniques of navigation $\textbullet$ Standard measurement environment $\textbullet$ Evaluation program and equipments $\textbullet$ A measurement experiment

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