Robotics is pivotal in enhancing efficiency and precision in modern industries. This project demonstrates a simplified model of industrial robotic manipulation using the UR3 robot arm. It incorporates computer vision and socket-based communication to simulate essential tasks such as pick-and-place operations. Our implementation elucidates core principles of robotic control and object detection, paving the way for advancements in industrial automation.
- Ensure Python is installed on your system.
Clone the repository to your local machine:
git clone https://github.com/kchammanard/UR3-Arm-Manipulation.gitcd UR3-Arm-Manipulation
python main.pyTo run the camera loop, start the vision application and press the play button as shown in the image below:
