AMR robots generally come in several types: material handling AMRs, sorting AMRs, service AMRs, and special-purpose AMRs.
The selection is primarily based on the work scenario and task requirements. Since your company mainly produces paper packaging, material handling and sorting AMRs are more suitable.
Material handling AMRs: Primarily used for material handling, with load capacities ranging from tens of kilograms to several tons. They feature automatic docking with shelves or production line conveyors, supporting various loading modes such as flatbeds, pallets, and rollers. Suitable for material handling in factory workshops and docking with warehouse shelves, they effectively reduce labor costs and improve production efficiency.
Sorting AMRs: Focused on order picking in e-commerce warehouses, they are often equipped with sorting systems or robotic arms. They can use AI to identify product types, accurately grasp items, and adjust the work sequence based on real-time order priorities. Suitable for express sorting centers and e-commerce warehouse picking operations, they significantly improve order processing efficiency. They are also suitable for paper packaging sorting, and with vision systems, can automatically identify qualified and defective products.
Main Components:
Mechanical Body: The physical architecture of the robot, including the base, arm structure, end effector (gripper), end effector adjustment mechanism, and detection mechanism. It determines the robot's working range, load capacity, and movement flexibility.
Servo Drive System+: Provides power for the robot's movement, consisting of a power unit and transmission mechanism. It precisely controls the movement of each joint, ensuring smooth and accurate motion.
Control System: As the robot's "brain," it issues commands to the drive system and actuators according to the input program, achieving precise control of various robot actions and operations. It also has memory, monitoring, and alarm functions.
Vision System+: Generally composed of high-precision cameras and image sensors, it can perceive information such as the position, shape, size, and color of goods, providing a basis for the robot's precise grasping and palletizing. The accuracy and stability of the vision system directly affect the robot's operational efficiency.
