• Title/Summary/Keyword: robot systems

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Learning C Language Using Robots

  • Kim, Seung-Han;Jeon, Jae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.119-122
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    • 2005
  • Lego company created a set called Robotic Invention System as a kind of Mindstorm set. This system helps to understand the technology of both robot and programming language. It also improves creativeness by building and controlling the robot we make. This paper will introduce basic idea of controlling the RCX(Programmable Lego Block) in C language. Also, this paper will show different idea of teaching C language by using other types of robots.

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Mobile Robot Navigation in an Indoor Environment

  • Choi, Sung-Yug;Lee, Jang-Myung
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1456-1459
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    • 2005
  • To compensate the drawbacks, a new localization method that estimates the global position of the mobile robot by using a camera set on ceiling in the corridor is proposed. This scheme is not a relative localization, which decreases the position error through algorithms with noisy sensor data. The effectiveness of the proposed localization scheme is demonstrated by the experiments.

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Nonlinear Attitude Control of a Two-Wheeled Mobile Robot

  • Yang, Jl-Won;Roh, Chi-Won;Lee, Kwang-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.67.6-67
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    • 2001
  • In this paper, we present an attitude control of self-standing for a two-wheeled inverted-pendulum-like mobile robot based on the nonlinear control theory. Nonlinear dynamic equations are linearized by using the Lie derivative, and a pole placement controller is designed. Characteristics of the controller are examined by numerical simulations to show the self-standing attitude of the mobile robot in standing and in moving.

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A Robust Control with The Bound Function of Neural Network Structure for Robot Manipulator

  • Chul, Ha-In;Chul, Han-Myung
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.113.1-113
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    • 2001
  • The robust position control with the bound function of neural network structure is proposed for uncertain robot manipulators. The neural network structure presents the bound function and does not need the concave property of the bound function, The robust approach is to solve this problem as uncertainties are included in a model and the controller can achieve the desired properties in spite of the imperfect modeling. Simulation is performed to validate this law for four-axis SCARA type robot manipulators.

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Development of a Robot Off-Line Programming System with Collision Detection

  • Lee, Sang-Cheol;Lee, Kwae-Hi
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.113.2-113
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    • 2001
  • In this paper, we present a robot off-Line programming system with collision detection. The collision detection is a very important factor of robot oft-line programming system for collision avoidance, path planning, and so on. The System developed in this paper, basically using an algorithm for the minimum distance calculation between general polyhedra. The proposed system shows an exact and interactive result in static and dynamic environments.

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Fuzzy PI with Gain Scheduling Control for a Flexible Joint Robot

  • Hidenori, Kimura;Lee, Sang-Gu
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.93.2-93
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    • 2001
  • This paper presents the implementation of fuzzy PI gain scheduling controller (FPICGS) for controlling flexible joint robot arms with uncertainties from time-varying load. The term FPICGS is called based on a combination of fuzzy PI control scheme with a set of rule bases. Principle of design for a FPICGS is given along with the implementation of the designed computer aided control system. The experiment reveals an effectiveness of the proposed control scheme for flexible joint robot arms driven by a DC motorhooked with a spring which both parameters are completely unknown parameters ...

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Research of soccer robot system strategies

  • Bae, Jong-Il;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.149.4-149
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    • 2001
  • In this paper, the multiple micro robot soccer playing system is introduced at first. Learning and evolving in artificial agents is a difficult problem, but on the other hand a challenging task. In our laboratory, this soccer 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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Design of a biped robot using DSP and FPGA

  • Oh, sung-nam;Seo, jae-kwan;Lee, sung-ui;Kim, tab-il
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.84.5-84
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    • 2002
  • In order to be a stand-alone structure, a biped robot should be designed of the effective mechanic structure and the smaller hardware system. This paper shows the design methodology of a biped robot controller using FPGA(Field Programmable Gate Array). A hardware system consists of DSP(Digital Signal Processor) as the main CPU and FPGA as the motor controller...

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Dynamic Output Feedback Regulation of Robots with Flexible Joints

  • Son, Young I.;Shim, Hyungbo;Jo, Nam H.;Seo, Jin H.
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.104.4-104
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    • 2002
  • $\textbullet$ Contents 1 : PD control of an elastic joint robot $\textbullet$ Contents 2 Dynamic output feedback law without velocity measurements $\textbullet$ Contents 3 : Robust analysis for parameter uncertainties of the robot system $\textbullet$ Contents 4 : Simulation studies with a three joint robot system $\textbullet$ Contents 5 : Performance comparison with an another control law

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Performance Evaluation of An Intuitive Robot Teach Method Using a Force/moment Direction Sensor

  • Park, Myoung H.;Lee, Woo-Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.78.1-78
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    • 2002
  • A quantitative performance evaluation of an intuitive robot teach method is presented. $\textbullet$ Teach times for two types of teach tasks are compared to the conventional teach pendant method. $\textbullet$ Teach tasks requiring a 4 DOF motion and a 6 DOF motion were tested. $\textbullet$ Compared to the teach pendant method, the proposed method reduce the teach times to 75% and 55%. $\textbullet$ The intuitive teach method is easier for the untrained robot users.

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