• Title/Summary/Keyword: Path navigation

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Observation of bubble dynamics under water in high-magnetic fields using a high-speed video camera

  • Lee, Seung-Hwan;Minoru Takeda
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.04a
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    • pp.291-298
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    • 2004
  • The observations of rapid motion of bubbles under water for approximately 50 ms or less in high-magnetic fields of 10 T have been carried out successfully for the first time. The observation system constructed is composed of a high-speed video camera, a telescope, a cryostat with a split-type superconducting magnet, a light source, a mirror and a transparent sample cell. Using this system, the influence of magnetic field on the path and shape of single bubbles of O$_2$ (paramagnetism) and N$_2$ (diamagnetism) has been examined carefully. Experimental values describing the path are in good agreement with theoretical values calculated on the basis of the magneto-Archimedes effect, despite the effect of magnetism on the bubble. However, no effect of magnetism on the shape of the bubble is observed. In addition, the influence of magnetic field on drag coefficient of the bubble is discussed.

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Neural Networks Based Modeling with Adaptive Selection of Hidden Layer's Node for Path Loss Model

  • Kang, Chang Ho;Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.4
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    • pp.193-200
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    • 2019
  • The auto-encoder network which is a good candidate to handle the modeling of the signal strength attenuation is designed for denoising and compensating the distortion of the received data. It provides a non-linear mapping function by iteratively learning the encoder and the decoder. The encoder is the non-linear mapping function, and the decoder demands accurate data reconstruction from the representation generated by the encoder. In addition, the adaptive network width which supports the automatic generation of new hidden nodes and pruning of inconsequential nodes is also implemented in the proposed algorithm for increasing the efficiency of the algorithm. Simulation results show that the proposed method can improve the neural network training surface to achieve the highest possible accuracy of the signal modeling compared with the conventional modeling method.

A Study on Rendezvous Point between the Mobile Robot and Predicted Moving Objects (경로예측이 가능한 이동물체와 이동로봇간의 Rendezvous Point에 관한 연구)

  • Youn, Jung-Hoon;Lee, Kee-Seong
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.84-86
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    • 2001
  • A new navigation method is developed and implemented for mobile robot. The mobile robot navigation problem has traditionally been decomposed into the path planning and path following. Unlike tracking-based system, which minimize intercept time and moved mobile robot distance for optimal rendezvous point selection. To research of random moving object uses algorithm of Adaptive Control using Auto-regressive Model. A fine motion tracking object's trajectory is predicted of Auto-regressive Algorithm. Thus, the mobile robot can travel faster than the target wi thin the robot's workspace. The can select optimal rendezvous point of various intercept time.

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A Study on Path Planning and Navigation of Autonomous Mobile Robot (자율 이동 로봇의 경로계획과 주행)

  • Kwack, Sang-Feel;Choi, Byung-Jae;Yoo, Seog-Hwan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.1
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    • pp.55-60
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    • 2006
  • 지능형 로봇이 성장 동력 산업으로 선정되면서 국가적인 관심이 지능형 로봇산업에 모이고 있다. 지능형 로봇의 분야에서 있어 자율 이동 로봇에 관한 연구는 중요한 이슈가 되고 있다. 주어진 환경에서 환경을 인식하고, 얻어진 정보에 따라 효율적인 주행을 하기 위해 환경지도를 구성한다. 구성된 환경지도를 기반으로 목표지점을 향한 광역경로 계산을 수행하고, 얻어진 경로를 따라 이동함으로써 목표점에 이르게 된다. 본 논문에서는 퍼지 환경 지도를 제안하고, 퍼지 환경지도로부터 최단시간 광역 경로를 계산하는 알고리즘을 소개하며, 주행 제어를 위한 퍼지 제어기를 제안한다.

Obstacle Avoidance Navigation Using Distance Profile Histogram (거리 형태 히스토그램을 이용한 이동로보트의 장애물 회피 주행)

  • 김현태;노흥식;조영완;박민용
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.12
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    • pp.1-12
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    • 1996
  • A new local path planning algorithm using DPH (distance profile histogram) is suggested in this paper. The proposed method makes a grid type world map using distance values from multiple ultrasonic sensors and genrates local points through which the mobile robot can avoid obstcles safely. The DPH (distance profile historgram) represents geometrical arrangement of obstacles around the robot in the local polar coordinate system which is assumed to be atached to the robot. To control robot's navigation, a three-layered control structure is adopted. The proposed local path planning algorithm is placed on the top level. And a point-to-point translation controller takes the middle level. The bottom level consists of a velcoity servo and sonar driver modules which take charge of driving physical hardwares. The validity of the propsoed method is demonstated through several experiments.

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Development of an Autonomous Mobile Robot with Functions of Speech Recognition and Collision Avoidance

  • Park, Min-Gyu;Lee, Min-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.475-475
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    • 2000
  • This paper describes the construction of an autonomous mobile robot with functions of collision avoidance and speech recognition that is used for teaching path of the robot. The human voice as a teaching method provides more convenient user-interface to mobile robot. For safe navigation, the autonomous mobile robot needs abilities to recognize surrounding environment and avoid collision. We use u1trasonic sensors to obtain the distance from the mobile robot to the various obstacles. By navigation algorithm, the robot forecasts the possibility of collision with obstacles and modifies a path if it detects dangerous obstacles. For these functions, the robot system is composed of four separated control modules, which are a speech recognition module, a servo motor control module, an ultrasonic sensor module, and a main control module. These modules are integrated by CAN(controller area network) in order to provide real-time communication.

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A New Solution to Path Planning of Autonomous Cleaning Robot in Unknown Environment (자율 청소 로봇을 위한 미지의 환경에서의 새로운 경로 계획 방법)

  • Lee, Sang-Soo;Oh, Joon-Seop;Park, Jin-Bae;Choi, Yoon-Ho
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2335-2337
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    • 2001
  • In this paper, we address a new complete coverage navigation algorithm and guidance methodology for the cleaning robot. The proposed algorithm is based on the grid map. Six templates, excluding a Back-Trace(BT) template are used as the local navigation method. The effectiveness of the algorithm proposed in this paper is thoroughly demonstrated through simulations and the evaluation of parameters for the path execution.

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Observation of bubble dynamics under water in high-magnetic fields using a high-speed video camera

  • Lee, Seung-Hwan;Takeda, Minoru
    • Journal of Navigation and Port Research
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    • v.28 no.2
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    • pp.141-148
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    • 2004
  • The observations of rapid motion of bubbles under water for approximately 50ms or less in high . magnetic fields of 10 T have been carried out successfully for the first time. The observation system constructed is composed of a high-speed video camera, a telescope, a cryostat with a split-type superconducting magnet, a light source, a mirror and a transparent sample cell. Using this system, the influence of magnetic field on the path and shape of single bubbles of $O_2$(paramagnetism) and $N_2$ (diamagnetism) has been examined carefully. Experimental values describing the path are in good agreement with theoretical values calculated on the basis of the magneto-Archimedes effect, despite the effect of magnetism on the bubble. However, no effect of magnetism on the shape of the bubble is observed In addition, the influence of magnetic field on drag coefficient of the bubble is discussed.

Preliminary Analysis on the Effects of Tropospheric Delay Models on Geosynchronous and Inclined Geosynchronous Orbit Satellites

  • Lee, Jinah;Park, Chandeok;Joo, Jung-Min
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.4
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    • pp.371-377
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    • 2021
  • This research proposes the best combination of tropospheric delay models for Korean Positioning System (KPS). The overall results are based on real observation data of Japanese Quasi-Zenith satellite system (QZSS), whose constellation is similar to the proposed constellation of KPS. The tropospheric delay models are constructed as the combinations of three types of zenith path delay (ZPD) models and four types of mapping functions (MFs). Two sets of International GNSS Service (IGS) stations with the same receiver are considered. Comparison of observation residuals reveals that the ZPD models are more influential to the measurement model rather than MFs, and that the best tropospheric delay model is the combination of GPT3 with 5 degrees grid and Vienna Mapping Function 1 (VMF1). While the bias of observation residual depends on the receivers, it still remains to be further analyzed.

An unified rough and finish cut algorithm for NC machining of free form pockets with general polygon - Part 2. Experiment (일반적인 내벽을 가진 자유바닥 곡면 파켓의 NC 가공을 위한 단일화된 황삭과 정삭 알고리즘 - Part 2. Experiment)

  • Choi, Yong-Hoon;Kim, Sang-Jin
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.1
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    • pp.46-53
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    • 2007
  • NC (Numerical Control) code for the tool path needs to be generated efficiently for machining of free form pockets with arbitrary wall geometry on a three axis CNC machine. The unified rough and finish cut algorithm and the tool motion is graphically simulated in Part 1. In this paper, a grid based 3D navigation algorithm simulated in Part 1 for generating NC tool path data for both linear interpolation and a combination of linear and circular interpolation for three-axis CNC milling of general pockets with sculptured bottom surfaces is experimentally performed and verified.

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