Definition of bin picking

Sheetak - Cooling at your Fingertip 11/24 LB

Photonics Dictionary

bin picking: Bin picking, also known as bin picking automation or bin picking robotics, refers to the automated process of selecting and retrieving individual objects or components from a bin, container, or bulk storage system using robotic systems equipped with sensors, cameras, and manipulation capabilities. Bin picking is a challenging task in automation and robotics due to the variability in object shapes, sizes, orientations, and positions within the bin.

Object recognition and localization: Bin picking systems utilize sensors, cameras, and vision systems to identify and locate objects within the bin. Advanced computer vision algorithms and machine learning techniques are employed to recognize objects based on their shape, color, texture, and other visual features.

Grasping and manipulation: Once objects are identified, robotic arms equipped with grippers, suction cups, or other manipulation tools are used to pick and grasp the objects from the bin. The robot must be able to handle objects of different shapes, sizes, and materials while ensuring a secure grip to prevent dropping or damage.

Collision avoidance: Bin picking systems incorporate collision detection and avoidance mechanisms to ensure safe operation in dynamic environments. Sensors and proximity detectors are used to detect obstacles, other equipment, or human operators in the vicinity, allowing the robot to adjust its movements accordingly.

Path planning and optimization: Path planning algorithms are employed to optimize the trajectory of the robot's arm and gripper to efficiently navigate the bin and retrieve objects. Optimization techniques may consider factors such as object accessibility, grasp stability, cycle time, and energy efficiency.

Integration with production systems: Bin picking robots are often integrated into larger production or assembly systems to automate material handling and assembly processes. Integration may involve interfacing with conveyor systems, robotic workstations, sorting equipment, and other automation components to facilitate seamless operation and workflow.

Applications: Bin picking automation is used in various industries, including manufacturing, logistics, warehousing, e-commerce, automotive, electronics, and consumer goods. Applications include part picking and assembly in manufacturing, order fulfillment in warehouses, sorting and packaging in distribution centers, and material handling in logistics operations.

Challenges and advancements: Challenges in bin picking automation include dealing with cluttered or densely packed bins, handling fragile or deformable objects, and achieving high-speed and reliable picking performance. Ongoing advancements in robotics, computer vision, machine learning, and sensor technologies continue to improve the capabilities, accuracy, and efficiency of bin picking systems.

Overall, bin picking automation offers significant benefits in terms of productivity, efficiency, and flexibility by automating the labor-intensive task of selecting and handling individual objects from bulk storage, enabling streamlined manufacturing and logistics operations.