Design and Implementation of a Fuzzy Logic-based Joint Controller on a 6-DOF Robot Arm with Machine Vision Feedback

被引：0

作者：

Dominic Ligutan, Dino ^{[1
]}

Cruz, Levin Jaeron S. ^{[1
]}

Del Rosario, Michael Carlo D. P. ^{[1
]}

Singh Kudhal, Jho Nathan ^{[1
]}

Abad, Alexander C. ^{[2
]}

Dadios, Elmer P. ^{[3
]}

机构：

[1] De La Salle Univ, Gokongwei Coll Engn, Elect & Commun Engn Dept, Sci & Technol Complex, Binan Laguna, Philippines

[2] De La Salle Univ, Gokongwei Coll Engn, Elect & Commun Engn Dept, Manila, Philippines

[3] De La Salle Univ, Gokongwei Coll Engn, Mfg Engn & Management Dept, Manila, Philippines

来源：

2017 COMPUTING CONFERENCE | 2017年

关键词：

fuzzy logic; joint controller; robotic arm; degrees of freedom;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This study presents the design, simulation and implementation of a fuzzy logic-based joint controller (FLJC) on a six-degrees of freedom (6-DOF) robotic arm with machine vision feedback capable of picking an object and placing it to a predetermined position. A 4-DOF M100RAK robotic arm coupled with 2-DOF gripper is used as a platform in the implementation of the FLJC. The control of robotic arm system is a closed-loop system. The inputs to the FLJC are the joint angles, gripper coordinates and target object coordinates. Input joint angles are measured using MPU6050 Six-Axis (Gyro+Accelerometer) sensor. Machine vision system composed of Kinect camera and an opensource Processing software are used to extract the coordinates of the gripper and the target within the image of the workspace. Computed joint angles from FLJC are transmitted through communication protocol packets to Arduino microcontroller for servo control.

引用

页码：249 / 257

页数：9

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