• Title/Summary/Keyword: Mobile robot navigation

검색결과 562건 처리시간 0.028초

Navigation of a Mobile Robot Using the Hand Gesture Recognition

  • Kim, Il-Myung;Kim, Wan-Cheol;Yun, Jae-Mu;Jin, Tae-Seok;Lee, Jang-Myung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.126.3-126
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    • 2001
  • A new method to govern the navigation of a mobile robot is proposed based on the following two procedures: one is to achieve vision information by using a 2 D-O-F camera as a communicating medium between a man and a mobile robot and the other is to analyze and to behave according to the recognized hand gesture commands. In the previous researches, mobile robots are passively to move through landmarks, beacons, etc. To incorporate various changes of situation, a new control system manages the dynamical navigation of a mobile robot. Moreover, without any generally used expensive equipments or complex algorithms for hand gesture recognition, a reliable hand gesture recognition system is efficiently implemented to convey the human commands to the mobile robot with a few constraints.

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자율 이동 로봇의 주행을 위한 영역 기반 Q-learning (Region-based Q- learning For Autonomous Mobile Robot Navigation)

  • 차종환;공성학;서일홍
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.174-174
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    • 2000
  • Q-learning, based on discrete state and action space, is a most widely used reinforcement Learning. However, this requires a lot of memory and much time for learning all actions of each state when it is applied to a real mobile robot navigation using continuous state and action space Region-based Q-learning is a reinforcement learning method that estimates action values of real state by using triangular-type action distribution model and relationship with its neighboring state which was defined and learned before. This paper proposes a new Region-based Q-learning which uses a reward assigned only when the agent reached the target, and get out of the Local optimal path with adjustment of random action rate. If this is applied to mobile robot navigation, less memory can be used and robot can move smoothly, and optimal solution can be learned fast. To show the validity of our method, computer simulations are illusrated.

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이동 로봇의 주행을 위한 새로운 지도 구성 방법 및 경로 계획에 관한 연구 (A Study on New Map Construction and Path Planning Method for Mobile Robot Navigation)

  • 오준섭;박진배;최윤호
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권9호
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    • pp.538-545
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    • 2000
  • In this paper we proposed a new map construction and path planning method for mobile robot. In our proposed method first we introduced triangular representation map that mobile robot can navigate through shorter path and flexible motion instead of grid representation map for mobile robot navigation. method in which robot can navigate complete space through as short path as possible in unknown environment is proposed. Finally we proposed new path planning method in a quadtree representation map. To evaluate the performance of our proposed new path planning method in a quadtree representation map. To evaluate the performance of our proposed triangular representation map it was compared with the existing distance transform path planning method. And we considered complete coverage navigation and new path planning method through several examples.

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Systematic Odometry Error Correction을 이용한 이동로봇의 위치오차 보정 (A Study on Mobile Robot Posture Error Reduction Using Systematic Odometry Error Correction)

  • 강형석;이쾌희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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    • pp.655-657
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    • 1999
  • In this paper we will introduce an posture error reduction algorithm for Mobile Robot. We classified odometry error into two categories. and focus on systematic odometry error correction only. Because it is the primary reason for mobile robot navigation. For this procedure we used some robot specifications and modeled robot behavior. Through some experiment, we could obtain new system specs. After modeling, Robot navigation precision was improved.

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손 동작 인식을 이용한 이동로봇의 주행 (Navigation of a Mobile Robot Using Hand Gesture Recognition)

  • 김일명;김완철;윤경식;이장명
    • 제어로봇시스템학회논문지
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    • 제8권7호
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    • pp.599-606
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    • 2002
  • A new method to govern the navigation of a mobile robot using hand gesture recognition is proposed based on the following two procedures. One is to achieve vision information by using a 2-DOF camera as a communicating medium between a man and a mobile robot and the other is to analyze and to control the mobile robot according to the recognized hand gesture commands. In the previous researches, mobile robots are passively to move through landmarks, beacons, etc. In this paper, to incorporate various changes of situation, a new control system that manages the dynamical navigation of mobile robot is proposed. Moreover, without any generally used expensive equipments or complex algorithms for hand gesture recognition, a reliable hand gesture recognition system is efficiently implemented to convey the human commands to the mobile robot with a few constraints.

저가 적외선센서를 장착한 이동로봇에 적용 가능한 격자지도 작성 및 샘플기반 정보교합 (Grid Map Building and Sample-based Data Association for Mobile Robot Equipped with Low-Cost IR Sensors)

  • 권태범;송재복
    • 로봇학회논문지
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    • 제4권3호
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    • pp.169-176
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    • 2009
  • Low-cost sensors have been widely used for mobile robot navigation in recent years. However, navigation performance based on low-cost sensors is not good enough to be practically used. Among many navigation techniques, building of an accurate map is a fundamental task for service robots, and mapping with low-cost IR sensors was investigated in this research. The robot's orientation uncertainty was considered for mapping by modifying the Bayesian update formula. Then, the data association scheme was investigated to improve the quality of a built map when the robot's pose uncertainty was large. Six low-cost IR sensors mounted on the robot could not give rich data enough to align the range data by the scan matching method, so a new sample-based method was proposed for data association. The real experiments indicated that the mapping method proposed in this research was able to generate a useful map for navigation.

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퍼지제어를 이용한 카메라가 장착된 이동로봇의 경로제어 (Fuzzy Navigation Control of Mobile Robot equipped with CCD Camera)

  • 조정태;이석원;남부희
    • 산업기술연구
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    • 제20권B호
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    • pp.195-200
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    • 2000
  • This paper describes the path planning method in an unknown environment for an autonomous mobile robot equipped with CCD(Charge-Coupled Device) camera. The mobile robot moves along the guideline. The CCD camera is used for the detection of the existence of a guideline. The wavelet transform is used to find the edge of guideline. It is possible for us to do image processing more easily and rapidly by using wavelet transform. We make a fuzzy control rule using image data as an input then determined the position and the navigation of the mobile robot. The center value of guideline is the input of fuzzy logic controller and the steering angle of the mobile robot is the fuzzy controller output. Some actual experiments show that the mobile robot effectively moves to target position by means of the applied fuzzy control.

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카메라를 이용한 이동 로보트 주행 제어 (Navigation control for a mobile robot using a camera)

  • 문순환;한민홍
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1994년도 춘계공동학술대회논문집; 창원대학교; 08월 09일 Apr. 1994
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    • pp.42-48
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    • 1994
  • This paper presents the navigation method for a mobile robot which uses a single camera and fluorescent lamp as a guide mark, projected on a convex mirror. The current position and heading direction of the mobile robot are obtained from the image of the guide mark. While the mobile robot travels to a goal position, the current position and heading direction of the mobile robot are updated continuously and the desired path and actual moving path are displayed on the monitor screen in real time. This proposed method eliminates the need to rotate the camera to track the guide mark, since a panoramic view of the surrounding area is available from the convex mirror, and natural guide marks such as usual florescent lamp on the ceiling or door frame can be used for navigation.

초음파센서 기반 이동로봇의 새로운 네비게이션 기술 개발 (Development of a New Navigation Technology for Mobile Robot Based on Sonar Sensors)

  • 노연판쿠에트;한성현
    • 한국생산제조학회지
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    • 제18권6호
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    • pp.664-674
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    • 2009
  • This paper presents the theoretical development of a complete navigation problem of a non-holonomic mobile robot by using sonar sensors. To solve this problem, a new method to compute a fuzzy perception of the environment is presented, dealing with the uncertainties and imprecision from the sensory system and taking into account nonholonomic constraints of the robot. Fuzzy perception, fuzzy controller are applied, both in the design of each reactive behavior and solving the problem of behavior combination, to implement a fuzzy behavior-based control architecture. Different experiments in populated environments have proved to be very successful. Our method is able to guide the mobile robot named KUM-Robo safety and efficiently during long experimental time.

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카메라와 초음파센서 융합에 의한이동로봇의 주행 알고리즘 (Mobile Robot Navigation using Data Fusion Based on Camera and Ultrasonic Sensors Algorithm)

  • 장기동;박상건;한성민;이강웅
    • 한국항행학회논문지
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    • 제15권5호
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    • pp.696-704
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    • 2011
  • 본 논문에서는 단일 카메라와 초음파센서 데이터를 융합하는 이동 로봇 주행제어 알고리즘을 제안하였다. 이진화 영상처리를 위한 임계값을 영상 정보와 초음파센서 정보를 이용하는 퍼지추론기법으로 설정하였다. 임계값을 상황에 따라 가변하면 조도가 낮은 환경에서도 장애물 인식이 향상된다. 카메라 영상 정보와 초음파 센서 정보를 융합하여 장애물에 대한 격자지도를 생성하고 원궤적 경로기법으로 장애물을 회피하도록 한다. 제안된 알고리즘의 성능을 입증하기 위하여 조도가 낮은 실내와 좁은 복도에서 Pioneer 2-DX 이동로봇의 주행제어에 적용하였다.