• 제목/요약/키워드: Autonomous Mobile Robot,AMR

검색결과 28건 처리시간 0.029초

유전알고리즘을 이용한 이동로봇의 경로계획 및 충돌회피에 관한 연구 (A study on path planning and avoidance of obstacle for mobile robot by using genetic algorithm)

  • 김진수;이영진;이권순
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.1193-1196
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    • 1996
  • Genetic algorithm(GA) is useful to find optimal solution without any special mathematical modeling. This study presents to search optimal path of Autonomous Mobile Robot(AMR) by using GA without encoding and decoding procedure. Therefore, this paper shows that the proposed algorithm using GA can reduce the computation time to search the optimal path.

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인간공학적 디자인을 적용한 보행가이드 로봇의 개발 (Development of the Gait Assistant Mobile Robot using Ergonomics Design)

  • Jang, J.H.;Park, T.J.;Han, C.S.;Han, J.S.
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.1166-1171
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    • 2004
  • In this study, the concept of autonomous mobility is applied to a gait support mobile robot. The aim of the development of the service robot is to assist the elderly with gait rehabilitation. This study proposes an ergonomic service robot design parameter. The gait assistant path pattern is derived from analysis of the elderly gait. A lever is installed in the AMR in order to measure both the pulling force and the leading force of the elderly. The path generation of the mobile robot is developed through consideration and analysis of elderly gait patterns. The ergonomic design parameters (dimensions, action scope and working space) are determined based on moving scope of the elderly. The gait assistant mobile robot was offered the elderly guide service and internet service based on the ergonomic design parameters.

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실내 물류 환경에서 라이다-카메라 약결합 기반 맵핑 및 위치인식과 네비게이션 방법 (Loosely Coupled LiDAR-visual Mapping and Navigation of AMR in Logistic Environments)

  • 최병희;강경수;노예진;조영근
    • 로봇학회논문지
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    • 제17권4호
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    • pp.397-406
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    • 2022
  • This paper presents an autonomous mobile robot (AMR) system and operation algorithms for logistic and factory facilities without magnet-lines installation. Unlike widely used AMR systems, we propose an EKF-based loosely coupled fusion of LiDAR measurements and visual markers. Our method first constructs occupancy grid and visual marker map in the mapping process and utilizes prebuilt maps for precise localization. Also, we developed a waypoint-based navigation pipeline for robust autonomous operation in unconstrained environments. The proposed system estimates the robot pose using by updating the state with the fusion of visual marker and LiDAR measurements. Finally, we tested the proposed method in indoor environments and existing factory facilities for evaluation. In experimental results, this paper represents the performance of our system compared to the well-known LiDAR-based localization and navigation system.

Development of the Medical Support Service Robot Using Ergonomic Design

  • Cho, Young-Chul;Jang, Jae-Ho;Park, Tong-Jin;Han, Chang-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2660-2664
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    • 2003
  • In this study, the concept of autonomous mobility is applied to a medical service robot. The aim of the development of the service robot is for the elderly assisting walking rehabilitation. This study aims that the service robot design parameter is proposed in ergonomic view. The walking assistant path pattern is derived from analyzing the elderly gait analysis. A lever is installed in the AMR in order to measure the pulling force and the leading force of the elderly. A lever mechanism is applied for walking assistant service of the AMR. This lever is designed for measuring the leading force of the elderly. The elderly adjusts the velocity of the robot by applying force to the lever. The action scope and the service mechanism of the robot are developed for considering and analyzing the elderly action patterns. The ergonomic design parameters, that is, dimensions, action scope and working space are determined based on the elderly moving scope. The gait information is acquired by measuring the guide lever force by load cells and working pattern by the electromyography signal.

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공정 지연 최소화를 위한 AMR의 LiDAR 교체 방법에 대한 연구 (Research on the Replacement of LiDAR for AMR to Minimize Production Lags)

  • 안계운;정희운
    • 한국정보통신학회논문지
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    • 제26권10호
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    • pp.1545-1550
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    • 2022
  • 본 논문에서는 최근 물류, 제조업 등 다양한 산업군에서 활용되는 AMR(Autonomous Mobile Robot)의 LiDAR 고장 시 교체 시간을 최소화하는 방법에 대해 연구하였다. 이를 위해 일반적인 LiDAR 교체 프로세스를 정의하고 퀵-체인지 기구에 기반한 새로운 프로세스를 제안하였다. 실험은 자동차 제조 기업 공장 내 적용을 위해 개발된 AMR을 활용해 수행하였으며, 새로운 프로세스 적용 시 24분 내 LiDAR 교체가 가능하며 일반적 프로세스 대비 약 76% 이상 단축됨을 확인할 수 있었다. 결과적으로, 제안된 프로세스의 적용을 통해 AMR의 비가동 및 전체적인 공정 지연을 최소화할 수 있다.

인공면역망에 의한 자율이동로봇의 행동 선택 (Action Selections for an Autonomous Mobile Robot by Artificial Immune Network)

  • 한상현;윤중선
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.532-532
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    • 2000
  • Conventional artificial intelligence systems are not properly responding under dynamically changing environments. To overcome this problem, reactive planning systems implementing new Al principles, called behavior-based Al or emergent computation, have been proposed and confirmed their usefulness. As another alternative, biological information processing systems may provide many feasible ideas to these problems. Immune system, among these systems, plays important roles to maintain its own system against dynamically changing environments. Therefore, immune system would provide a new paradigm suitable for dynamic problem dealing with unknown environments. In this paper, a new approach to behavior-based Al by paying attention to biological immune system is investigated. The feasibility of this method is confirmed by applying to behavior control of an autonomous mobile robot in cluttered environment.

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Voice Command-based Prediction and Follow of Human Path of Mobile Robots in AI Space

  • Tae-Seok Jin
    • 한국산업융합학회 논문집
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    • 제26권2_1호
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    • pp.225-230
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    • 2023
  • This research addresses sound command based human tracking problems for autonomous cleaning mobile robot in a networked AI space. To solve the problem, the difference among the traveling times of the sound command to each of three microphones has been used to calculate the distance and orientation of the sound from the cleaning mobile robot, which carries the microphone array. The cross-correlation between two signals has been applied for detecting the time difference between two signals, which provides reliable and precise value of the time difference compared to the conventional methods. To generate the tracking direction to the sound command, fuzzy rules are applied and the results are used to control the cleaning mobile robot in a real-time. Finally the experiment results show that the proposed algorithm works well, even though the mobile robot knows little about the environment.

A Study on Development of Visual Navigation System based on Neural Network Learning

  • Shin, Suk-Young;Lee, Jang-Hee;You, Yang-Jun;Kang, Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권1호
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    • pp.1-8
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    • 2002
  • It has been integrated into several navigation systems. This paper shows that system recognizes difficult indoor roads without any specific marks such as painted guide line or tape. In this method the robot navigates with visual sensors, which uses visual information to navigate itself along the read. The Neural Network System was used to learn driving pattern and decide where to move. In this paper, I will present a vision-based process for AMR(Autonomous Mobile Robot) that is able to navigate on the indoor read with simple computation. We used a single USB-type web camera to construct smaller and cheaper navigation system instead of expensive CCD camera.

퍼지 인공 면역망 시스템을 이용한 자율이동로봇 시스템 (Autonomous Mobile Robot System based on a Fuzzy Artificial Immune System)

  • 이동제;최영규
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.257-260
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    • 2007
  • 본 논문은 초음파 센서에 의해 인식된 정보를 항체와 항원으로 모델링 된 퍼지 인공 명역망에 의한 하위 행위기와 상위 행동 선택기로 설계된 자율이동로봇 시스템에 관한 연구이다. 외부 환경과 행동 패턴의 관계는 매우 많은 조합이 가능하다. 이러한 복잡한 관계 속에서 행동의 우선 순위를 어떻게 결정하는가 하는 문제가 가장 중요하다. 이러 복잡한 결정을 위해 본 논문에서는 퍼지 인공 면역망 알고리즘을 제시하고, 컴퓨터 시뮬레이션에 의해 제안된 자율이동로봇의 행위 선택기의 유용성을 보여준다.

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Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware

  • Sim, Kwee-Bo;Lee, Dong-Wook;Zhang, Byoung-Tak
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권1호
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    • pp.20-25
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    • 2002
  • This paper presents a genetic programming based evolutionary strategy for on-line adaptive learnable evolvable hardware. Genetic programming can be useful control method for evolvable hardware for its unique tree structured chromosome. However it is difficult to represent tree structured chromosome on hardware, and it is difficult to use crossover operator on hardware. Therefore, genetic programming is not so popular as genetic algorithms in evolvable hardware community in spite of its possible strength. We propose a chromosome representation methods and a hardware implementation method that can be helpful to this situation. Our method uses context switchable identical block structure to implement genetic tree on evolvable hardware. We composed an evolutionary strategy for evolvable hardware by combining proposed method with other's striking research results. Proposed method is applied to the autonomous mobile robots cooperation problem to verify its usefulness.