The AI-Based Sorting Robot Arm project aims to harness the power of artificial intelligence for object detection and recognition, integrated with ROS2 (Robot Operating System 2), to enable a manipulator to perform pick and place operations efficiently. This project utilizes a camera as input, leveraging its visual data to identify and sort objects with precision.
- Object detection and recognition using state-of-the-art AI algorithms.
- Seamless integration with ROS2 for robot control and coordination.
- Real-time camera feed processing for object identification.
- Flexible sorting capabilities for diverse objects and scenarios.
- Efficient pick and place operations with robotic manipulator.
- ROS2 (Robot Operating System 2)
- Python (version X.X.X)
- OpenCV (version X.X.X)
- TensorFlow or PyTorch (for AI-based object detection)
- [List any additional dependencies]
[Provide installation instructions and prerequisites here.]
[Explain how to use the project, including configuration, setup, and execution instructions.]
[Detail any configuration files or settings that need to be modified.]
Contributions are welcome! Please follow our contribution guidelines for details.
This project is licensed under the [License Name] License - see the LICENSE.md file for details.
[Optional: Acknowledge any libraries, tools, or individuals who have contributed to or inspired your project.]
[Your Name] [Your Email Address] [Optional: Any other contact information]
[Include any links to documentation, videos, or other resources that might be helpful for users.]