• Title/Summary/Keyword: 3-Axis Robot

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Study on the Development of 3-axis Sensor for Robot (Robot용 3축 Force Sensor 개발에 관한 연구)

  • Choe, Dong-Yeop;Jeong, Yeon-Gyu
    • 한국기계연구소 소보
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    • s.18
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    • pp.67-74
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    • 1988
  • The force sensor is essentially required in controlling robot manipulator in such applications as precise assembly of mechanical parts, deburring and polishing and various kinds of 6-axis force sensors are developed for these application. This paper presents the algorithm of horizontal assembly of circular cross-sectional workpiece using 3-axis force sensor and procedure to develop the sensor. The sensor is calibrated and tested using AID converter and 16 bit micro computer. The result is $\pm$0.03% FS of zero stability, 0.1%FS of linearity and $\pm$0.05% FS of resolution. The sensor will be used in the research of robot application such as assembly and deburring interfaced with micro computer based robot controller which is under development at the robotics lab.

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Design of a Three-Axis Force Sensor for Wrist Bending-Exercise Rehabilitation Robot (손목굽힘운동 재활로봇을 위한 3축 힘센서 설계)

  • Kim, Gab-Soon
    • Journal of Sensor Science and Technology
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    • v.22 no.2
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    • pp.118-123
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    • 2013
  • Most serious stroke patients have the paralysis of their wrists, and can't use of their hands freely. But their wrists can be recovered by rehabilitation exercise. Recently, professional rehabilitation therapeutists exercise the wrists of stroke patients in hospital. But the wrists of stroke patients have not rehabilitated, because the therapeutists are much less than stroke patients in number. Therefore, the wrist bending-exercise rehabilitation robot that can measure the bending force of the patients' wrists is developed. In this paper, the three-axis force sensor was designed for the wrist bending-exercise rehabilitation robot. As a test results, the interference error of the three-axis force sensor was less than 0.85%. It is thought that the sensor can be used to measure the wrist bending force of the patient.

Implementation of Mobile Robot Platform Based on Attitude Reference System for Pan-tilt Camera Control (팬틸트 카메라 제어를 위한 자세측정 장치 기반 이동로봇플랫폼 구현)

  • Park, Se-Jun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.201-206
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    • 2016
  • Aircraft have a cross axis of the three each other for maintenance of aircraft position. It is called roll axis, pitch axis and yaw axis. Attitude reference system is a sensor for detecting a change of the three axis. In this paper, mobile robot platform install part of Pan-tilt and HMD attitude reference system, because of we use control camera. The acceleration sensor is very weak a lot of noise to vibration, also problem with data from process of mapping to the data problems to arise. However to solve this problem, we removed the average filter and Cosine Interpolation for Pan-tilt. Using capacity evaluation for outdoor environment for we are proposing. Mobile robot has HMD and equipped Pan-tilt. We control mobile robot camera. In this experiment result is little bit delay happening, however Pan-tilt camera is relatively stable control checking. Also, we will checking any terrain and slopes is no problem for mobile robot driving skills.

Vibration Suppression Control for an Articulated Robot: Effects of Model-Based Control Applied to a Waist Axis

  • Itoh, Masahiko;Yoshikawa, Hiroshi
    • International Journal of Control, Automation, and Systems
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    • v.1 no.3
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    • pp.263-270
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    • 2003
  • This paper deals with a control technique of eliminating the transient vibration of a waist axis of an articulated robot. This technique is based on a model-based control in order to establish the damping effect on the mechanical part. The control model is related to the velocity control loop, and it is composed of reduced-order electrical and mechanical parts. Using this model, the velocity of the load is estimated, which is converted to the motor shaft. The difference between the estimated load speed and the motor speed is calculated dynamically, and it is added to the velocity command to suppress the transient vibration of a waist axis of the robot arm. The function of this technique is to increase the cut-off frequency of the system and the damping ratio at the driven machine part. This control model is easily obtained from design or experimental data and its algorithm can be easily installed in a DSP. This control technique is applied to a waist axis of an articulated robot composed of a harmonic drive gear reducer and a robot arm with 5 degrees of freedom. Simulations and experiments show satisfactory control results to reduce the transient vibration at the end-effector.

Design of Force Measuring System for Deburring Using Industrial Robot (산업용로봇을 이용한 디버링을 위한 힘측정시스템 설계)

  • Lee, Gyeong Jun;Kim, Han Sol;Kim, Chong Jin;Kim, Hyeon Min;Kim, Gab Soon
    • Journal of the Korean Society for Precision Engineering
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    • v.32 no.7
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    • pp.653-660
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    • 2015
  • This paper describes the design of the force measuring system for an industrial robot's deburring work. The force measuring system is composed of a three-axis force sensor, a measuring device, a housing and a cover. The three-axis force sensor can detect x-direction force, y-direction force and z-direction force at the same time. The measuring device is designed using DSP(Digital Signal Processor), and have a RS-232 and a RS-485 communication port for sending force data to PC or other controller. As a result of test, the repeatability error and the non-lineality error of the three-axis force sensor are less than 0.03%, and the interference error of the sensor is less than 0.95%. It is thought that the force measuring system can be used for an industrial robot's deburring work.

KAIST ARM의 고속동작제어를 위한 하드웨어 좌표변환기의 개발

  • 박서욱;오준호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1992.04a
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    • pp.127-132
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    • 1992
  • To relize the future intelligent robot the development of a special-purpose processor for a coordinate transformation is evidently challenging task. In this case the complexity of a hardware architecture strongly depends on the adopted algorithm. In this paper we have used an inverse kinemetics algorithm based on incremental unit computation method. This method considers the 3-axis articulated robot as the combination of two types of a 2-axis robot: polar robot and 2-axis planar articulated one. For each robot incremental units in the joint and Cartesian spaces are defined. With this approach the calculation of the inverse Jacobian matrix can be realized through a simple combinational logic gate. Futhermore, the incremental computation of the DDA integrator can be used to solve the direct kinematics. We have also designed a hardware architecture to implement the proposed algorithm. The architecture consists of serveral simple unitsl. The operative unit comprises several basic operators and simple data path with a small bit-length. The hardware architecture is realized byusing the EPLD. For the straight-line motion of the KAIST arm we have obtained maximum end effector's speed of 12.6 m/sec by adopting system clock of 8 MHz.

A Study on Pose Control for 2 wheel Robot using ARS (ARS를 이용한 2바퀴 로봇의 자세 제어에 관한 연구)

  • Kang, Jin Gu
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.1
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    • pp.73-78
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    • 2013
  • In this paper, configuration control for the Horizontal Maintenance of the 2 wheel robot has been studied using ARS(Attitude Refrence System). The 2 wheel robot technique is getting attention and there have been many researches on the seg-way since the US. Using its 2 freedom, a 2 wheel robot can move in various modes and Our robot performs goal reaching ARS.2 wheel robot fall down to the forward or reverse direction to converge to the stable point. Kalman Filter is normally used for the algorithm and numerous research is progressing at the moment. To calculate the attitude in ARS using 2 axis gyro(roll, pitch) and 3 axis accelerometers (x, y, z). In this paper we present a two wheel robot system for an autonomous mobile robot. This paper realized the robot control method which is much simpler but able to get desired performance by using the ARS control.

Gain Scheduling in a 6-Axis Articulated Robot Based on LabVIEW (LabVIEW 기반 6축 수직다관절 로봇의 게인스케쥴링 구현 연구)

  • Kim, M.S.;Chung, W.J.;Kim, S.B.
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.3
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    • pp.318-324
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    • 2014
  • Recent years have witnessed a growing demand for a wide variety of high-performance industrial robots. In this paper, for accurate gain tuning of a 6-axis articulated industrial robot with reduced noise, a program routine for a dynamic signal analyzer (DSA) using the frequency response method will be programmed using $LabVIEW^{(R)}$. Then, robot transfer functions can be obtained experimentally using the frequency response method with the DSA program. Data from the robot transfer functions are transformed into Bode plots, based on which an optimal gain tuning will be executed. Gain tuning can enhance the response quality of the output signal for a given input signal during real-time control of the robot. The effectiveness of our proposed technique will be verified by implementation with a (lab-manufactured) 6-axis articulated industrial robot (hereinafter called "RS2") and comparison with the zero position gain tuning, as well as other positions.

Development of a Transplanting Robot System for Tissue Culture Pants (II) - Machine Vision System - (조직배양체 이식로봇 시스템의 개발 (II) - 기계시각 시스템 -)

  • Lee, H. D.;Kim, K. D.;Kim, C. S.;Kim, J. P.;Jung, H.
    • Journal of Biosystems Engineering
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    • v.24 no.1
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    • pp.41-50
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    • 1999
  • This study aims at detecting the three dimensional gripping points for the transplanting robot system to grip in the process of developing transplanting robot system, which is one of the automation systems for transplanting tissue culture. The stereo vision system equipped with two cameras has been used to detect the gripping points of the plant stem. The method for matching the plants of the image information which came from two cameras was to measure the total numbers of pixels, leaves, and the heights of the plants. The gripping points were detected near the roots after extracting the stem parts by the standard deviation of the X axis according to the Y axis. The performance test of the developed program showed that the detecting errors of the gripping points were 0∼1mm for X axis and 1∼2mm for Y & Z axis. The mean running time of the program was about 3 seconds.

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