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ROS기반 영상인식기술을 이용한 물류적재로봇 제어 SW

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oclis/ROS-EYE

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ROS_EYE

ROS_EYE

Logistics loading robot control SW using ROS-based image recognition technology. Consists of 3D images linked with simulation so that robots can be easily used in industrial sites. Robot intelligent control package that integrates image processing module (OpenCV) and robot control module (ROS).

Getting started

Git-clone is an online open source Code for solving problems and promoting this project. The workspace starts automatically with just one click. https://github.com/oclis/ROS-EYE.git

Development Environment

Install blender version 2.80 or higher https://www.blender.org/ Blender installation location is installed in the home path location. You have to install the Python(for Blender) module separately again using pip.

ROS_EYE

List of additional modules

blender/2.83/python/bin$ ./python3.7m -m ensurepip 
blender/2.83/python/bin$ ./python3.7m -m pip install opencv-python
blender/2.83/python/bin$ ./python3.7m -m pip install pyrealsense2
blender/2.83/python/bin$ ./python3.7m -m pip install multipledispatch

Run ROS-EYE

ROS_EYE

ROS_EYE

ROS_EYE

ROS_EYE

ROS_EYE

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License

  • GNU General Public License v3.0 only
  • Apache License 2.0
  • GNU General Public License v3.0 or later

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ROS기반 영상인식기술을 이용한 물류적재로봇 제어 SW

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