I am excited to share details about LogisticBot, a groundbreaking project developed as part of my Bachelor's degree in Computer and Control Engineering at El Shorouk Academy.
LogisticBot is a Logistics and Warehouse Automation System designed to enhance efficiency and optimize operations in the logistics industry. Leveraging state-of-the-art technology and automation, the project aims to revolutionize warehouse management.
- Tools: OpenCV, PostgreSQL, Postman
- Programming Languages: Python, JavaScript
- Web Technologies: HTML, CSS, Bootstrap, Django
- Hardware: Raspberry Pi 4 for controlling the robot
Our automated system features a car with mecanum wheels and a six-degree-of-freedom (6 DoF) robotic arm, offering a comprehensive solution for warehouse tasks.
Users can easily select a product and identify its location within the warehouse, optimizing inventory management.
The robot employs a line follower mechanism and an AI algorithm based on A* with PID control for precise navigation along predetermined paths.
Utilizing OpenCV, the system's camera scans the environment, providing accurate coordinates for the targeted product.
The robotic arm, equipped with advanced gripping technology, precisely positions the gripper for secure product handling.
After gripping the product, LogisticBot autonomously moves to the designated delivery point within the warehouse.
At the delivery point, the robot gently releases the product, completing the entire automation process seamlessly.
This project showcases our commitment to innovation and the application of cutting-edge technologies in addressing real-world challenges. I look forward to further discussions and collaboration opportunities surrounding LogisticBot. Feel free to explore the project on [GitHub](Link to your GitHub Repository), where detailed code and documentation are available.