• 제목/요약/키워드: Micro Robot

검색결과 183건 처리시간 0.04초

4족 보행 로봇의 장애물 회피와 축구하기 (Obstacle Avoidance and Playing Soccer in a Quadruped Walking Robot)

  • 서현세;성영휘
    • 대한임베디드공학회논문지
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    • 제7권3호
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    • pp.143-150
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    • 2012
  • In this paper, we introduce an intelligent quadruped walking robot that can perform stable walking and a couple of intelligent behaviors. The developed robot has two sets of ultrasonic sensors and six sets of infrared sensors and can perform obstacle avoidance by detecting obstacles and estimating the distances and directions of those obstacles. The robot also has a stereo camera and can paly soccer by detecting a ball and estimating the 3 dimensional coordinates of the ball. In performing those intelligent behaviors, the robot needs to have the capability of generating its walking patterns, solving the inverse kinematics problem, and interfacing several sensors in realtime. Therefore we designed a hierarchical controller that consists of a main controller and an auxiliary controller. The main controller is a 32-bit DSP that can perform fast floating-point opertaion and the auxiliary one is a 8-bit micro-controller. We showed that the developed quadruped walking robot successfully perform those intelligent behaviors through experiments.

Experiments of soccer robots system

  • Sugisaka, Masanori;Nakanishi, Kiyokazu;Hara, Masayoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1105-1108
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    • 2003
  • The micro robot soccer playing system is introduced. Studying and learning, evolving in artificial agents are very difficult problem, but on the other hand we think more powerfully challenging task. In our laboratory, this soccer-system studies mainly centered on single agent learning problem. The construction of such experimental system has involved lots of kinds of challenges such as robot designing, vision processing, motion controlling. At last we will give some results showing that the proposed approach is feasible to guide the design of common agents system.

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소프트 컴퓨팅에 의한 자율 이동로봇의 충돌 회피 및 최적 경로계획 (Collision-Avoidance and Optimal Path Planning of Autonomous Mobile Robot using Soft-Computing)

  • 하상형;최인찬;김현성;전홍태
    • 한국지능시스템학회논문지
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    • 제20권2호
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    • pp.195-201
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    • 2010
  • 최근 넓은 활동 범위를 제공하고 작업 환경의 변화에 능동적으로 대처하기 위해 자율 이동 로봇에 대한 필요성이 높아지고 있다. 이 논문은 이동로봇이 장애물을 회피하여 최단 경로를 통해 목적지에 도착할 수 있는 알고리즘을 제안하고 시뮬레이션을 통해 그 유용성을 검증하도록 한다. 제안된 알고리즘은 micro-GA와 $\lambda$-geometry MRA을 사용한 알고리즘이다. 시뮬레이션 영역은 320(가로)$\times$200(세로) 픽셀로 제한하고, 한 픽셀의 단위를 1cm로 하였다. $\lambda$-geometry MRA 만을 사용하여 경로를 계획했을 경우에는 경로 계획을 위한 방향성은 제공하였지만 최단 거리 경로는 제공하지 못했다. 반면 micro-GA를 함께 사용했을 경우에는 최단 경로 탐색이 가능하였다. 따라서 제안된 알고리즘은 경로의 방향성과 함께 최단 경로 탐색을 제공하고 있다.

로봇 매니퓰레이터 원격 제어 (A remote control robot manipulator using force feedback joystick)

  • 김인수;현웅근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1823-1824
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    • 2008
  • We propose a remote controlled robot manipulator using force feedback joystick. User can control easily 5 d.o.f robot manipulator in 3 demensional space using general joystick. A force sensor attached in developed gripper sends signal to main robot controller so as to know gripper grasp the object. The signal also sent to user through force feedback joystick. We designed a dexterous 5 d.o.f robot manipulator analysis the kinematics and inverse kinematics. The robot was simply developed using serial RC motor. As a main robot controller, we use 32bit MPU(AT91SAM7256) and micro C/OS. To show the validity of our developed robot, a several experiments were demonstrated.

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광궤도를 이용한 이동로봇의 절대위치 보정 시스템 (Absolute Positioning System of Mobile Robot using Light Navigation Path)

  • 박용택;정효용;국금환
    • 한국정밀공학회지
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    • 제20권10호
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    • pp.141-147
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    • 2003
  • This paper represents an absolute positioning system using a light navigation path for mobile robot. The absolute positioning system is composed of the projector unit which generates a laser beam using laser diode and mobile robot with the optical detector which has some optical sensors. The projector unit is fixed over the navigating plane of mobile robot to generate the light navigation path, and the optical detector located upper part of mobile robot detects the generated laser beam from the projector. The navigation of mobile robot is controlled by the micro-processor which compares the detected present position from the detector with the previously programmed navigation path. And experimental results show that our sensor system can be used for the absolute positioning system of the mobile robot.

Designing Factory Safety Monitoring Robot Using Microsoft Robotic Studio

  • Loh, Byoung-Gook
    • International Journal of Safety
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    • 제7권1호
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    • pp.1-4
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    • 2008
  • Application of the Microsoft robotics studio (MSRS) to the design of a factory safety monitoring robot is presented. Basic structures of the MSRS and the service are introduced. The service is the key building block of the MSRS. Control of the safety monitoring robot is performed using four basic services: 1) the robot service which communicates with the embedded micro-processor and other services, 2) the sensor service that notifies the subscribing services of the change of the sensor value, 3) the motor service which controls the power levels to the motors, 4) the drive service which maneuvers the robot. With built-in capabilities of the MSRS, control of factory safety monitoring robot can be more easily performed.

Study on the Real-Time Walking Control of a Humanoid Robot U sing Fuzzy Algorithm

  • Kong, Jung-Shik;Lee, Eung-Hyuk;Lee, Bo-Hee;Kim, Jin-Geol
    • International Journal of Control, Automation, and Systems
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    • 제6권4호
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    • pp.551-558
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    • 2008
  • This paper deals with the real-time stable walking for a humanoid robot, ISHURO-II, on uneven terrain. A humanoid robot necessitates achieving posture stabilization since it has basic problems such as structural instability. In this paper, a stabilization algorithm is proposed using the ground reaction forces, which are measured using FSR (Force Sensing Resistor) sensors during walking, and the ground conditions are estimated from these data. From this information the robot selects the proper motion pattern and overcomes ground irregularities effectively. In order to generate the proper reaction under the various ground situations, a fuzzy algorithm is applied in finding the proper angle of the joint. The performance of the proposed algorithm is verified by simulation and walking experiments on a 24-DOFs humanoid robot, ISHURO-II.

DSP(TMS320C50) 칩을 사용한 산업용 로봇의 적응-신경제어기의 실현 (Implementation of the Adaptive-Neuro Controller of Industrial Robot Using DSP(TMS320C50) Chip)

  • 김용태;정동연;한성현
    • 한국공작기계학회논문집
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    • 제10권2호
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    • pp.38-47
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    • 2001
  • In this paper, a new scheme of adaptive-neuro control system is presented to implement real-time control of robot manipulator using Digital Signal Processors. Digital signal processors, DSPs, are micro-processors that are particularly developed for fast numerical computations involving sums and products of measured variables, thus it can be programmed and executed through DSPs. In addition, DSPs are as fast in computation as most 32-bit micro-processors and yet at a fraction of therir prices. These features make DSPs a viable computational tool in digital implementation of sophisticated controllers. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust perfor-mance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method.The proposed adaptive-neuro control scheme is illustrated to be a efficient control scheme for the implementation of real-time control of robot system by the simulation and experi-ment.

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TMS320C30칩을 사용한 산업용 로봇의 적응-신경제어기 설계 (The Adaptive-Neuro Controller Design of Industrial Robot Using TMS320C3X Chip)

  • 하석흥
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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    • pp.162-169
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    • 1999
  • In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator using digital Signal Processors. Digital signal processors DSPs. are micro-processors that are particularly developed for variables. Digital version of most advanced control algorithms can be defined as sums and products of measured variables, thus it can be programmed and executed through DSPs. In addition, DSPs are as fast in computation as most 32-bit micro-processors and yet at a fraction of their prices. These features make DSPs a biable computatinal tool in digital implementation of sophisticated controllers. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. The proposed adaptive-neuro control scheme is illustrated to be a efficient control scheme for implementation of real-time control of robot system by the simulation and experiment.

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