• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.166-168
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• 2007

This paper is dealing with how to control of a client robot's movement for instructions from a server PC and a wireless andremote control Robot that sends the server information of images for monitoring. To implement this. 802.11x WLAN with TCP/IP socket programming is used to get the driving instructions from the server PC and control movements of the robot such as a forward, backward and directions. As well as this, ARM9 cored PAX255 embedded processor and Linux OS is used for the function transmitting BMP format of 320 ${\times}$ 240 pixel for stopped image data.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1720-1721
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• 2007

This paper presents a Fuzzy+PID control method for a Bridge Inspection Robot(BIR) system. The BIR has been developed with the aim of checking the safety status of a real bridge, gathering accurate data and performing maintenance. The developed robot system is composed of the specially designed car for bridge inspection, the guide rail and the inspection robot. The proposed Fuzzy+PID controllers are used to track speed reference signal of X axis and position reference signal of Z axis. Experimental results verify that the proposed Fuzz+PID control design method can achieve favorable control performance with regard to external disturbance.

• The Journal of Korea Robotics Society
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• v.17 no.2
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• pp.152-158
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• 2022

As various mobile robots and manipulator robots have been commercialized, robots that can be used by individuals in their daily life have begun to appear. With the development of robots that support daily life, the interaction between robots and humans is becoming more important. Manipulator robots that support daily life must perform tasks such as pressing buttons or picking up objects safely. In many cases, this requires expensive multi-axis force/torque sensors to measure the interaction. In this study, we introduce a low-cost two-axis pressure sensor that can be applied to manipulators for education or research. The proposed system used three force sensitive resistor (FSR) sensors and the structure was fabricated by 3D printing. An experimental device using a load cell was constructed to measure the biaxial pressure. The manufactured prototype was able to distinguish the +-x-axis and the +-y-axis pressures.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.8
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• pp.703-710
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• 2016

In robotics research, accurate estimation of current robot position is important to achieve motion control of a robot. In this research, we focus on a sensor fusion method to provide improved position estimation for a wheeled mobile robot, considering two different sensor measurements. In this case, we fuse camera-based vision and encode-based odometry data using Kalman filter techniques to improve the position estimation of the robot. An external camera-based vision system provides global position coordinates (x, y) for the mobile robot in an indoor environment. An internal encoder-based odometry provides linear and angular velocities of the robot. We then use the position data estimated by the Kalman filter as inputs to the motion controller, which significantly improves performance of the motion controller. Finally, we experimentally verify the performance of the proposed sensor fused position estimation and motion controller using an actual mobile robot system. In our experiments, we also compare the Kalman filter-based sensor fused estimation with two different single sensor-based estimations (vision-based and odometry-based).

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.8
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• pp.800-808
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• 2008

This paper presents a localization algorithm of the outdoor wheeled mobile robot using the sensor fusion method based on indirect Kalman filter(IKF). The wheeled mobile robot considered with in this paper is approximated to the two wheeled mobile robot. The mobile robot has the IMU and encoder sensor for inertia positioning system and GPS. Because the IMU and encoder sensor have bias errors, divergence of the estimated position from the measured data can occur when the mobile robot moves for a long time. Because of many natural and artificial conditions (i.e. atmosphere or GPS body itself), GPS has the maximum error about $10{\sim}20m$ when the mobile robot moves for a short time. Thus, the fusion algorithm of IMU, encoder sensor and GPS is needed. For the sensor fusion algorithm, we use IKF that estimates the errors of the position of the mobile robot. IKF proposed in this paper can be used other autonomous agents (i.e. UAV, UGV) because IKF in this paper use the position errors of the mobile robot. We can show the stability of the proposed sensor fusion method, using the fact that the covariance of error state of the IKF is bounded. To evaluate the performance of proposed algorithm, simulation and experimental results of IKF for the position(x-axis position, y-axis position, and yaw angle) of the outdoor wheeled mobile robot are presented.

• 전자공학회논문지 IE
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• v.45 no.4
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• pp.42-46
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• 2008

LED's production does Die bonding and Wire bonding on L/F board, and do epoxy dispensing to protect LED Chip and improve brightness. In this paper, we propose and realize a x-y-z axis robot mechanism detecting automatically eopxy's amount being filled, control data of pressure and time by the quantity automatic revision, and epoxy of the schedule amount dispensing.

• Proceedings of the IEEK Conference
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• 2004.06b
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• pp.403-406
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• 2004

This paper describes an IP design and implementation of a complicated hardware to System on a Chip(SoC) to simplify the complicated system. As using SoC, hardware and software can be designed and verified both. This paper describes an image capturing IP and a perpendcular coordinate robot IP that can move on x, y coordinates. 240$\ast$320 TFT-LCD is used to display images.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1060-1065
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• 2005

An Independent Administrative Corporation Japan Agency for Marine-Earth Science and Technology (JAMSTEC) is developing light-and-small Autonomous Underwater Vehicles (AUV)$^{1)}$, named 'MR-X1' (Marine Robot Experimental 1), which can cruise, investigate and observe by itself without human's help. In this paper, we consider the motion control problem of 'MR-X1' and derive a controller. Since the dynamic property of 'MR-X1' is changed by the influence of the speed, the mathematical model of 'MR-X1' becomes the nonlinear model. In order to design a controller for 'MR-X1', we generally apply nonlinear control theories or linear control theories with some constant speed situation. If we design a controller by applying Linear Quadratic (LQ) optimal control theory, the obtained controller only compensates t e optimality at the designed speed situation, and does not compensate the stability at another speed situations. This paper proposes a controller design method using Linear Matrix Inequalities (LMIs)$^{2),3),4)}$, which can adapt the speed variation of 'MR-X1'. And examples of numerical analysis using our designed controller are shown.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.422-427
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• 1988

The purpose of this research is to develope a algorithm characterizing the grasp of the randomly fed objects using the tactile sensor. The tactile sensor used is composed of the 10 x 16 arrays of optical sensors and the planar resolution is 1.8 x 1.8 mm$^{2}$. The square and circular plate are used for the investigation of the characteristics of this sensor. The result shows that the measuring performance of the square plate is superior to that of the circular plate. Based upon this result the algorithm for the assembly of the electric plug was developed and was implemented using the mini-robot.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.143-151
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• 2010

In this paper, We designed the robot controller with Linux OS, Cygwin under the Marvell Monahan PXA320 embedded platform. Cygwin is a collection of tools for using the Linux-like environment for commercially released x86 32 bit and 64 bit versions of Windows and is a DLL that acts as a Linux API emulation layer providing substantial Linux API functionality. TinyOS-2. x is a component based embedded OS by UC Berkeley and is an open-source OS designed for interfacing the sensor application with specific C-language. The results of experiment are described to show the improvement of sensor interfacing functionality under the PXA320 embedded RTOS platform.