• 제목/요약/키워드: robot algorithm

검색결과 2,526건 처리시간 0.033초

Obstacle avoidance plan of autonomous mobile robot using fuzzy control

  • Park, Kyung-Seok;Yi, Kyung-Woong;Choi, Han-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2387-2392
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    • 2003
  • In this paper, We designed the local path planning direction algorithmusing fuzzy controller applied fuzzy logic. Algorithm decieded a direction angle by theposition of obstacle, the distance with obstacle, the progress direction of robot, the speed of vehicles and the perception area of sensor. The robot designed with proposed algorithm carried out soft moving without any particular operation, and we could observe that it had very soft curved moving as if an expert drove.

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충돌 회피를 위한 다중 로봇 시뮬레이터 (Multi-robot simulator for collision avoidance)

  • 이재용;이범희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.417-422
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    • 1993
  • Robots working in the multiple robot system can perform the variety of tasks compared to the single robot system, while they are subject to the various tight constraints such as the precise coordination and the mutual collision avoidance during the task execution. In this paper, we provide an algorithm and graphical verification for collision avoidance between two robots working together. The algorithm calculates the minimum time delay for collision avoidance and the graphical verification is performed through the 3-D graphic simulator.

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퍼지 규칙을 이용한 비전 및 무선 센서 네트워크 기반의 이동로봇의 자율 주행 및 위치 인식 (Navigation and Localization of Mobile Robot Based on Vision and Sensor Network Using Fuzzy Rules)

  • 허준영;강근택;이원창
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.673-674
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    • 2008
  • This paper presents a new navigation algorithm of an autonomous mobile robot with vision and IR sensors, Zigbee Sensor Network using fuzzy rules. We also show that the developed mobile robot with the proposed algorithm is navigating very well in complex unknown environments.

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퍼지 적응 제어기를 이용한 컴플라이언스 로보트에 관한 연구

  • 노흥식;김승우;박민용
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.588-588
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    • 1991
  • This paper proposes a compliance robot control algorithm using fuzzy adaptive controller and fuzzy compliance vector generator. In the compliance robot control, we need more adaptivity because the linear modeling in robot dynamics is getting more difficult by contact with external environment. Existing adapitive controllers have difficulty in realtime processing. So in order to overcome it, We adopt fuzzy adaptive controller and propose fuzzy compliance vector generator for flexible compliant motion. We analyze and confirm the proposed algorithm by surface processing experiment with a control system implemented by VME system.

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로보트 매니퓰레이터에 대한 강건한 적응제어기 설계 (Robust adaptive controller design for robot manipulator)

  • 안수관;배준경;박종국;박세승
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.177-182
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    • 1989
  • In this paper a new adaptive control algorithm is derived, with the unknown manipulator and payload parameters being estimated online. In practice, we may simplify the algorithm by not explicity estimating all unknown parameters. Further, the controller must be robust to residual time-varying disturbance, such as striction or torque ripple. Also, the reference model is a simple douple integrator and the acceleration input for robot manipulator consists of a proportion and derivative controller for trajectory tracking purposes. The validity of this control is confirmed in simulation where two-link robot manipulator shows the robust performances in spite of the existing nonlinear interaction and unknown parametrictings

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다각 보행 로보트의 서보 제어기 설계 (A servo controller design for a quadruped walking robot)

  • 이연정;여인택;박찬웅
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.75-78
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    • 1987
  • This paper presents a control algorithm of servo controller for a quadruped walking robot as well as its characteristics and requirements. The control algorithm for propelling and terrain adaptive motion is described. The servo controller is being developed as a sub-project of the national project - "Development of a quadruped walking robot ". And then, this paper focuses on an overview of the current state and future works of this sub-project.b-project.

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다중이동로봇의 장애물 회피 및 경로계획 알고리즘에 관한 연구 (A Study on the Obstacle Avoidance and Path Planning Algorithm of Multiple Mobile Robot)

  • 박경진;이기성;이종수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(5)
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    • pp.31-34
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    • 2000
  • In this paper, we design an optimal path for multiple mobile robots. For this purpose, we propose a new method of path planning for multiple mobile robots in dynamic environment. First, every mobile robot searches a global path using a distance transform algorithm. Then we put subgoals at crooked path points and optimize them. And finally to obtain an optimal on-line local path, ever)r mobile robot searches a new path with static and dynamic obstacle avoidance.

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도어 장착을 위한 산업용 로보트의 위치 보정 시스템 개발 (Development of a Position Correction System of Industrial Robot for Door Chassis Assembly Task)

  • 변성동;김미경;강희준;김상명
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.504-509
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    • 1995
  • In this paper, we developed a position correction system of industrial robot for door-chassis assembly task. With the aid of a dedicated vision system, industrial robot accomplished visually acceptable door-chassis's assembly task. The alogorithm of the position detection of notch and 2 dimesional position correction algorithm are noteworthy. The obtained algorithms were satisfatorily implemented for a real door-chassis model.

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Evolution of the Behavioral Knowledge for a Virtual Robot

  • Hwang Su-Chul;Cho Kyung-Dal
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권4호
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    • pp.302-309
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    • 2005
  • We have studied a model and application that evolves the behavioral knowledge of a virtual robot. The knowledge is represented in classification rules and a neural network, and is learned by a genetic algorithm. The model consists of a virtual robot with behavior knowledge, an environment that it moves in, and an evolution performer that includes a genetic algorithm. We have also applied our model to an environment where the robots gather food into a nest. When comparing our model with the conventional method on various test cases, our model showed superior overall learning.

키넥트센서와 확장칼만필터를 이용한 이동로봇의 사람추적 및 사람과의 동반주행 (People Tracking and Accompanying Algorithm for Mobile Robot Using Kinect Sensor and Extended Kalman Filter)

  • 박경재;원문철
    • 대한기계학회논문집A
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    • 제38권4호
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    • pp.345-354
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    • 2014
  • 본 논문에서는 키넥트센서(Kinect sensor)와 확장칼만필터(Extended Kalman Filter : EKF)를 이용하여 사람과 로봇간의 상대위치 및 각도와 상대속도를 실시간으로 추정하는 알고리즘을 제안한다. 또한, 다양한 이동모드에 따른 모바일로봇의 사람과의 근접동반이동 제어를 수행한다. HOG 및 SVM을 이용한 사람 두부 및 어깨 검출 알고리즘을 통해 사람을 검출하고, 키넥트센서의 정보를 이용해 EKF 알고리즘을 거쳐 사람과 로봇간의 상대위치 및 속도를 추정한다. EKF 알고리즘의 결과를 이용해 실내 환경에서 사람과 같이 근접동반주행을 하기 위한 다양한 모드의 제어 실험을 수행한다. 또한, 모션캡처장비(VICON)를 이용해 알고리즘의 정확도를 검증하였다.