文件名称：AGV,基于视觉控制的动态路径跟踪机器人
文件大小：35.45MB
文件格式：ZIP
更新时间：2021-07-20 14:54:52
AGV机器人
基于视觉控制的动态路径跟踪机器人This project was tested on MATLAB 2016b on Windows 10. It requires: - MATLAB - OpenCV - OpenCV Contrib - Webcam - Bluetooth module - Arduino IDE - Arduino Microcontroller - Robot 1. MATLAB Can be retrieved at: https://www.mathworks.com/ 2. OpenCV and Open CV Contrib Installed and downloaded from https://github.com/kyamagu/mexopencv Using ArUco library from OpenCV Contrib 3. Webcam Any webcam that interfaces with MATLAB (i.e. Logitech) 4. Bluetooth Any Bluetooth device module (i.e. HC-06) 5. Arduino IDE https://www.arduino.cc/en/Main/Software 6. Arduino Any Arduino compatible with Arduino IDE 7. Robot Any locomotion robot that can be controlled by Arduino (with motor shields, etc)
【文件预览】：
DynamicPathFollowingRobot-master
----Media()
--------flowchart.PNG(37KB)
--------ArucoArray.PNG(16KB)
--------PWM.PNG(8KB)
--------results.PNG(29KB)
--------2099()
--------ArucoDetected.PNG(257KB)
--------1599()
--------pathDrawn.PNG(373KB)
--------project.prproj(72KB)
--------2095-1()
--------angle.PNG(169KB)
--------2095()
--------pathFollow.PNG(292KB)
--------robot.PNG(750KB)
----Code()
--------proj.m(15KB)
--------control()
--------connect_bluetooth.m(582B)
--------README.txt(742B)
----README.md(2KB)
----Documents()
--------BhattKangutkar_ProjectPoster.pdf(1.31MB)
--------BhattKangutkar_Presentation- Dynamic Path Following Robot using Vision Based Controls.pdf(643KB)
--------BhattKangutkar_PrinciplesProposal.pdf(87KB)
--------BhattKangutkar_DynamicPathFollowingRobot.pdf(3.89MB)