• 제목/요약/키워드: Indoor Autonomous Navigation

검색결과 76건 처리시간 0.029초

하이브리드 시스템의 기준동작 구성과 생성에 의한 차륜형 이동로봇의 자율 벽면-주행 알고리즘 (Algorithm for Autonomous Wall-Following of Wheeled Mobile Robots Using Reference Motion Synthesis and Generation of Hybrid System)

  • 임미섭;임준홍
    • 제어로봇시스템학회논문지
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    • 제6권7호
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    • pp.586-593
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    • 2000
  • In this paper we propose a new approach to the autonomous wall-following of wheeled mobile robots using hybrid system reference motion synthesis and generation. The hybrid system approach is in-troduced to the motion control of nonholonomic mobile robots for the indoor navigation problems. In the dis-crete event system the discrete states are defined by the user-defined constraints and the reference mo-tion commands are specified in the abstracted motions. The hybrid control system applied for the non-holonomic mobile robots can combine the motion planning and autonomous navigation with obstacle avoid-ance for the indoor navigation problem. Simulation results show that hybrid system approach is an effective method for the autonomous navigation in indoor environments.

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전역 초음파 시스템을 이용한 이동 로봇의 자율 주행 (Autonomous Navigation of Mobile Robot Using Global Ultrasonic System)

  • 황병훈;이수영
    • 제어로봇시스템학회논문지
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    • 제10권6호
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    • pp.529-536
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    • 2004
  • Autonomous navigation of an indoor mobile robot using the global ultrasonic system is presented in this paper. Since the trajectory error of the dead-reckoning navigation grows with time and distance, the autonomous navigation of a mobile robot requires to localize the current position of the robot, so that to compensate the trajectory error. The global ultrasonic system consisting of four ultrasonic generators fixed at a priori known positions in the work space and two receivers on the mobile robot has the similar structure with the well-known satellite GPS(Global Positioning System), and it is useful for the self-localization of an indoor mobile robot. The EKF(Extended Kalman Filter) algorithm for the self-localization is proposed and the autonomous navigation based on the self-localization is verified by experiments.

차륜형 이동로봇의 자율 벽면-주행을 위한 하이브리드 제어 (Autonomous Wall-Following of Wheeled Mobile Robots using Hybrid Control Approach)

  • 임미섭;임준홍;오상록
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.3105-3107
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    • 1999
  • In this paper, we propose a new approach to autonomous wall-following of wheeled mobile robots using hybrid control system. The hybrid control approach IS introduced to the motion control of nonholonomic mobile robots in the Indoor navigation problems. In hybrid control architecture, the discrete states are defined by the user-defined constraints, and the reference motion commands are specified In the abstracted motions. The hybrid control system applied to motion planning and autonomous navigation with obstacle avoidance In indoor navigation problem. Simulation results show that it is an effective method for the autonomous navigation in indoor environments.

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초음파 센서를 이용한 이동 로봇 시스템의 고속 실내 주행을 위한 하이브리드 시스템 제어기의 구현 (Implementation of Hybrid System Controller for High-Speed Indoor Navigation of Mobile Robot System Using the Ultra-Sonic Sensors)

  • 임미섭;임준홍;오상록;유범재;윤인식
    • 제어로봇시스템학회논문지
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    • 제7권9호
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    • pp.774-782
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    • 2001
  • In this paper, we propose a new approach to the autonomous and high-speed indoor navigation of wheeled mobile robots using hybrid system controller. The hierarchical structure of hybrid system presented consists of high-level reasoning process and the low-level motion control process and the environmental interaction. In a discrete event system, the discrete states are defined by the user-defined constraints and the reference motion commands are specified in the abstracted motions. The hybrid control system applied for the nonholonomic mobile robots can combine the motion planning and autonomous navigation with obstacle avoidance in the indoor navigation problem. For the evaluation of the proposed algorithm, the algorithm is implemented to the two-wheel driven mobile robot system. The experimental results show that the hybrid system approach is an effective method for the autonomous navigation in indoor environments.

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실내 자율 주행을 위한 3D Map 생성 시스템 (3D Map Generation System for Indoor Autonomous Navigation)

  • 문성태;한상혁;엄위섭;김연규
    • 항공우주기술
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    • 제11권2호
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    • pp.140-148
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    • 2012
  • 자율 주행을 위해 주행 지도, 위치 추적 및 목적지까지의 최단 경로 설정 연구가 필요하다. 특히 실내에서는 GPS 신호를 수신 받을 수 없기 때문에 이미지 프로세싱과 같은 방법을 통해 현재 위치를 인식하고 3차원 지도를 생성해야 한다. 본 논문에서는 Depth 카메라인 키넥트를 이용하여 3차원 지도를 생성하고, 일반 카메라로 촬영한 2차원 이미지를 이용하여 3차원 지도에서 현재 위치를 파악하는 방법에 대해 설명한다. 그리고 지도에서 장애물을 확인하고 단순화하는 방법에 대해서도 설명한다.

Global Ultrasonic System for Autonomous Navigation of Indoor Mobile Robots

  • Park, Seong-Hoon;Yi, Soo-Yeong;Jin, Sang-Yoon;Kim, Jin-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.846-851
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    • 2004
  • In this paper, we propose a global ultrasonic system for the self-localization and autonomous navigation of indoor mobile robots. The ultrasonic sensor is regarded as the most cost-effective ranging system among the possible alternatives, and it is widely used for general purpose, since it requires simple electronic drivers and has relatively high accuracy. The global ultrasonic system presented in this paper consists of four or more ultrasonic generators fixed at reference positions in the global coordinates of an indoor environment and two receivers mounted on the mobile robots. By using the RF (Radio Frequency) modules added to the ultrasonic sensors, the robot is able to control the ultrasonic generation and to obtain the critical distances from the reference positions, which are required in order to localize is position in the global coordinates. A kalman filter algorithm designed for the self-localization using the global ultrasonic system and the experimental results of the autonomous navigation are presented in this paper.

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실내 자율 비행을 위한 영상 기반의 위치 인식 시스템 (Image-based Localization Recognition System for Indoor Autonomous Navigation)

  • 문성태;조동현;한상혁
    • 항공우주기술
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    • 제12권1호
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    • pp.128-136
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    • 2013
  • 최근 자율 비행에 대한 관심이 증가하면서 다양한 센서를 통한 자기 위치 인식 연구가 진행되고 있다. 특히 GPS와 같은 자기 위치를 확보할 수 없는 실내 환경의 경우, 다른 방법을 통해 자기 위치를 파악해야 한다. 실내 환경에서 자기 위치 파악에는 여러 가지 방법이 있지만 영상을 통한 위치 인식 기술이 각광을 받고 있다. 본 논문에서는 마크를 통한 영상 기반의 위치 인식 연구에 대해 설명하고, 실제 비행체에 적용하여 자율 비행하는 방법에 대해 제안한다. 그리고 마크가 없는 실제 환경에서도 위치를 인식할 수 있도록 실시간 3차원 지도 생성을 통한 위치 인식 방법에 대해서도 논의한다.

실내용 위치센서의 특성과 이동로봇의 주행제어에 관한 실험적 연구 (Experimental Research on the Characteristics of Indoor Positioning Systems and Mobile Robot Navigation)

  • 안재완;진지용;정우진
    • 로봇학회논문지
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    • 제5권3호
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    • pp.231-239
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    • 2010
  • For indoor mobile robots, the performance of autonomous navigation is affected by a variety of factors. In this paper, we focus on the characteristics of indoor absolute positioning systems. Two commercially available sensor systems are experimentally tested under various conditions. Mobile robot navigation experiments were carried out, and the results show that resultant performance of navigation is highly dependent upon the characteristics of positioning systems. The limitations and characteristics of positioning systems are analyzed from both quantitative and qualitative point of view. On the basis of the analysis, the relationship between the positioning system characteristics and the controller design are presented.

하이브리드 시스템을 이용한 이동로봇의 지능적 동작과 자율주행 (Intelligent Motion and Autonomous Maneuvering of Mobile Robots using Hybrid System)

  • 이용미;임준홍
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.152-152
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    • 2000
  • In this paper, we propose a new approach to intelligent motion and autonomous maneuvering of mobile robots using hybrid system. In high Level, the discrete states are defined by using the sensor-based search windows and the reference motions of a mobile robot as a low vevel are specified in the abstracted motions, The mobile robots can perform both the motion planning and autonomous maneuvering with obstacle avoidance in indoor navigation problem. Simulation and experimental results show that hybrid system approach is an effective method for the autonomous maneuvering in indoor environments.

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저가형 LIDAR를 장착한 소형 무인항공기의 3차원 실내 항법 및 자동비행 (3-D Indoor Navigation and Autonomous Flight of a Micro Aerial Vehicle using a Low-cost LIDAR)

  • 허성식;조성욱;심현철
    • 로봇학회논문지
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    • 제9권3호
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    • pp.154-159
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    • 2014
  • The Global Positioning System (GPS) is widely used to aid the navigation of aerial vehicles. However, the GPS cannot be used indoors, so alternative navigation methods are needed to be developed for micro aerial vehicles (MAVs) flying in GPS-denied environments. In this paper, a real-time three-dimensional (3-D) indoor navigation system and closed-loop control of a quad-rotor aerial vehicle equipped with an inertial measurement unit (IMU) and a low-cost light detection and ranging (LIDAR) is presented. In order to estimate the pose of the vehicle equipped with the two-dimensional LIDAR, an octree-based grid map and Monte-Carlo Localization (MCL) are adopted. The navigation results using the MCL are then evaluated by making a comparison with a motion capture system. Finally, the results are used for closed-loop control in order to validate its positioning accuracy during procedures for stable hovering and waypoint-following.