Abstract
Our project focuses on the development of an Autonomous Palletizing Mobile Robot (AMR), designed to enhance the palletizing process in various industrial environments. This robot can autonomously handle payloads of up to 100kg, thanks to its robust basket-like structure, which ensures optimal weight distribution and stability while maximizing cargo capacity.
The robot's advanced sensor suite, including a LIDAR sensor, is key to its autonomy. This sensor allows the robot to dynamically map its surroundings in real-time, enabling precise navigation and obstacle avoidance. By continuously scanning its environment, the robot adapts to changes and navigates complex layouts efficiently, ensuring effective operation in diverse work settings.
Strategically designed, the robot's compact dimensions (90x60x140 cm) offer maneuverability in tight spaces without compromising payload capacity or operational capabilities, making it ideal for deployment in warehouses, factories, and distribution centers where space optimization is crucial.
The robot's control system is based on the Robot Operating System (ROS), a widely-used framework known for its flexibility and scalability. Utilizing ROS, the robot benefits from a modular architecture that simplifies the development and integration of various software components, including navigation algorithms, motion planning, and communication protocols.
Driving the control system is the Raspberry Pi 4, a versatile single-board computer known for its computational power and energy efficiency. This enables the robot to execute complex algorithms in real-time, allowing for swift decision-making and responsive navigation.
Overall, our Autonomous Palletizing Mobile Robot represents a cutting-edge solution for the logistics and warehouse industry. With its robust construction, advanced autonomy capabilities, and seamless integration with ROS and Raspberry Pi technology, the robot enhances efficiency, safety, and productivity in palletizing tasks, reshaping the future of automated material handling.