• Title/Summary/Keyword: 다관절 기구

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A Study on the Cooperative Kinematic Inter-operation of 2-Axis (Tilting/Rolling) Additional Axes with a 6-Axis Articulated Robot Using Simulink of MATLAB and Recurdyn (MATLAB과 Recurdyn의 Simulink를 활용한 2축 부가 축과 6축 수직 다관절로봇의 기구적 연동에 관한 연구)

  • Bae, Seung-Min;Chung, Won-Jee;Noh, Seong-Hoon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.4
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    • pp.16-23
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    • 2021
  • Currently, 6-axis articulated robots are used throughout the industry because of their 6-dof (degrees of freedom) and usability. However, 6-axis articulated robots have a fixed base and their movements are limited by the rotational operating range of each axis. If the angle of the 2-axis additional axes can be adjusted according to the position and orientation of the end-effector of the 6-axis articulated robot, the effectiveness of the 6-axis articulated robot can be further increased in areas where the angle is important, such as welding. Therefore, in this paper, we proposed a cooperative kinematic inter-operation strategy. The strategy will be verified using the Simulink of MATLABⓇ, an engineering program, and RecurdynⓇ, a dynamic simulation program.

A Study on Modular 6-DOF manipulator for Intelligrnt Object Control based on Deep Learning and ROS (딥러닝과 ROS 기반의 지능적 객체 제어가 가능한 모듈형 6자유도 매니퓰레이터의 설계)

  • Kim, Kyu-Tae;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.529-532
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    • 2021
  • 본 논문은 서비스 로봇 분야에서 역할을 수행하는 ROS 및 딥러닝 기반 모듈형 6자유도 매니퓰레이터의 설계 방법 및 성능 개선 결과를 제시한다. 기구적 설계, 모터 선정, 역 기구학 해석 방법 및 지능적 제어 방법에 대한 개선점과 향후 연구과제에 대해 다루었다. 특히 고정된 작업 반경 안에 있는 물체를 검출하고 이동시키는 방법을 딥러닝학습에 의해 정확도를 증가시키며, 임의의 위치에 존재하는 다양한 작업환경에서도 성공적인 작업수행이 가능하도록 수직 다관절 모듈형 매니퓰레이터를 설계하고 주요 성능을 검증하였으며 사용자의 사용 목적에 맞게 다양한 환경에서의 임무 수행이 가능하도록 설계하였다.

The design of 6-axis robot arm with intelligent object detection and object movement function (지능적 객체검출과 물체이동 기능을 갖는 6축 로봇 팔의 설계)

  • Kim, Kyu-Tae;Koo, Mo-Se;Ko, Young-Jun;Park, Myeong-Suk;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.417-420
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    • 2021
  • 본 논문은 서비스 로봇 분야에서 활용 가능한, ROS기반의 객체검출과 이동 기능을 갖는 6축 로봇 팔의 설계 방법 및 성능 개선결과를 제시한다. 기구설계, 물체검출, 3D좌표생성을 통한 실시간 역 기구학 해석 방법 및 지능적 모터 및 센서 제어 방법 등에 대해 제시하였다. 특히 영상과 센서기반 처리를 통해 고정된 작업반경 내 물체를 지능적으로 검출하고 목표지점까지 이동시키며, ROS기반의 추출된 정보를 이용하여 동작의 오차를 최소화하기 위해 다관절 로봇 팔의 운동을 최적화하여 설계하였으며 다양한 관련 실험을 통해 주요성능을 검증하였다.

Object Detection and Operation Control of Robot Arm using ROS (ROS를 이용한 로봇 팔의 물체 검출 및 작업 제어)

  • Koo, Mo-Se;Go, Young-Jun;Kim, Kyu-Tae;Park, Myeong-Suk;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.413-416
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    • 2021
  • 본 논문에서는 서비스용 다관절 로봇팔의 주요기능인 다양한 컵의 검출과 조작, 이동등을 지능적으로 구현하기 위해 로봇 오픈소스 운영체제인 ROS(Robot Operation System)을 기반으로 관련 프로 그램을 개발하고 기능을 구현하였다. 연구의 주요 목표인 다양한 종류의 컵, 병과 같은 물체를 실수없이 집어서 옮기기 위한 처리과정으로 관심물체인식, 3D좌표생성, 결과데이터의 역 기구학 해석등을 수행하였으며, 이를 통해 각 기구부의 축들이 물체에 정확히 도달하고 동작의 오류를 최소화하기 위해 ROS기반의 6축 서비스 로봇팔을 활용한 경로 생성과정과 물체의 검출 성능 과정 및 실험등을 제시하였다.

Kinematics Analysis of the Milti-joint Robot Manipulator for an Automatic Milking System (자동 착유시스템을 위한 다관절 로봇 머니퓰레이터의 기구학적 분석)

  • Kim, W.;Lee, D.W.
    • Journal of Animal Environmental Science
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    • v.13 no.3
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    • pp.179-186
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    • 2007
  • The purpose of this study was kinematics analysis of the multi-joint robot manipulator for an automatic milking system. The multi-joint robot manipulator was consisted of one perpendicular link and four revolution links to attach simultaneously four teat cups to four teats of a milking cow. The local coordinates of each joints on the robot manipulator was given for kinematics analysis. The transformation of manipulator was able to be given by kinematics using Denavit-Hatenberg parameters. The value of inverse kinematics which was solved by two geometric solution methods. The kinematics solutions was verified by AutoCAD, MATLAB, simulation program was developed using Visual C++.

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Development of Multibody Dynamic Model of Cervical Spine for Virtual In Vitro Cadaveric Experiment (가상 생체외 사체 실험용 경추 다물체 동역학 모델 개발)

  • Lim, Dae Seop;Lee, Ki Seok;Kim, Yoon Hyuk
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.10
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    • pp.953-959
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    • 2013
  • In this study, a multibody dynamic model of the cervical spine was developed for a virtual in-vitro cadaveric experiment. The dynamic cervical spine model was reconstructed based on Korean CT images and the material properties of joints and soft tissue obtained from in-vitro experimental literature. The model was validated by comparing the inter-segmental rotation, multi-segmental rotations, load-displacement behavior, ligament force, and facet contact force with the published in-vitro experimental data. The results from the model were similar to published experimental data. The developed dynamic model of the cervical spine can be useful for injury analysis to predict the loads and deformations of the individual soft-tissue elements as well as for virtual in-vitro cadaveric experiments.

Calibation and Compensation for the Kinematic Error in Robot Manipulatior (로봇의 기구학적 오차측정과 보상에 관한 연구)

  • 이종신;임성호;조희상;이의훈
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.545-549
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    • 1993
  • This paper presents the method of calibrating and compensating for the kinematic errors in robot manipulators. A calibration model is developed to represent any geometric errors in the manipulator's structure. A calibration jig is used to find the values of these kinematic errors in the end-effector's position and a calibration algormined for a SSR-6 robot manipulator developed by Samsung Heavy Industry, Daeduk R & D Center. Through this experiment the maximun kinematic error is reduced from 10mm to 0.4mm

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Experimental Study of the Robot Arm Applying the Gravity Compensator (중력보상기를 적용한 로봇 팔의 실험적 연구)

  • Choi, Hyeung-Sik;Seo, Hae-Yong;Uhm, Tai-Woong;Yoon, Jong-Su
    • Journal of Advanced Marine Engineering and Technology
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    • v.35 no.1
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    • pp.60-67
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    • 2011
  • In this paper, the structure of a gravity compensator(GC) was studied, and the 6-axis robot manipulator which is newly developed by applying the GC is presented to improve the torque performance and repeatability error of the robot joint. The kinematics analysis on the robot was presented. Also, experiments of the performance of the joint actuator of robot adopting the gravity compensator were presented by the GC to $1^{st}$ and $2^{nd}$ joints of the robot arm. According to the experiment results, it was validated that the position errors and load torque of the robot joint actuator adopting the GC are reduced significantly.

Structure Analysis of the Light Robot Manipulator Capable of Handling Heavy Payloads (고가반 하중 이송가능한 경량 로봇 매니퓰레이터의 구조해석 연구)

  • Choi, Hyeung-Sik;Cho, Jong-Rae;Hur, Jae-Gwan;Chun, Chi-Kwang
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.2
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    • pp.318-324
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    • 2010
  • In this paper, the structure of the gravity compensator has been designed and applied to a light structure of a new 6-axis robot manipulator to enhance its torque performance. Also, analyses on the kinematics and inverse-kinematics of the manipulator have been performed. An FEM analysis has been performed on the structure of robot links to have an excellent performance of delivering 25 kg payload despite of 30kg weight, which is very light compared with other manipulators. Through the FEM analysis, the stability on the vending or fracture of the links of the robot manipulator has been verified.

Gain Optimization of Kinematic Control for Wire-driven Surgical Robot with Layered Joint Structure Considering Actuation Velocity Bound (와이어로 구동하는 적층형 다관절 구조를 지닌 수술 로봇의 구동 속도를 고려한 기구학적 제어기의 게인 최적화)

  • Jin, Sangrok;Han, Seokyoung
    • The Journal of Korea Robotics Society
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    • v.15 no.3
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    • pp.212-220
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    • 2020
  • This paper deals with a strategy of gain optimization for the kinematic control algorithm of a wire-driven surgical robot. The proposed controller consists of the closed-loop inverse kinematics with the back-calculation method. The closed-loop inverse kinematics has 18 PID control gains, and the back-calculation method has 6 gains. An efficient strategy is designed to optimize 18 values first and then the remaining 6 values. The optimal gain sets are searched under the step input with performance indices. In this gain optimization, the objective function is defined as the minimum value of signal-to-noise ratio of the performance indices for 6 DoF (Degree-of-Freedom) motion that is based on the Taguchi method, and the constraints are applied to obtain stable responses for each motion evenly. The gain sets obtained are verified by simulations using the test trajectories. In comparative results, the optimal gain value based on the performance index combined with ISE (integral of square error) and settling time showed the best control performance.