Successful bin picking needs part analysis, the right 3D vision, and precise gripper coordination.
The shape, size, surface, and weight of the parts to be picked influence the choice of gripper and image processing. Shiny or transparent parts, for example, require special 3D cameras or light sources.
Precise object recognition is crucial for reliable bin picking. This is where 3D cameras (e.g., time-of-flight, stereo cameras, or structured light) come into play, capturing the position and orientation of the parts in space.
The gripper must not only grasp the part securely, but also avoid collisions with the container. Intelligent path planning ensures that the robot operates efficiently and safely – even in changing scenarios.
Automated bin picking increases speed, accuracy, and consistency while reducing labor costs, fatigue, and the risk of handling errors
Discover the key steps to automate bin picking tasks — from selecting the right components and 3D vision systems to configuring grippers and optimizing system setup for reliable performance
Which parts need to be picked? How big is the container? What cycle time is required?
The RBTX marketplace offers robot arms, 3D cameras, grippers, and software solutions—all modularly combinable and coordinated with each other.
Use the RBTX “test before invest” service to have your application tested. This will give you a realistic assessment of feasibility and performance.
Many systems are “plug & play” – with intuitive software, preconfigured interfaces, and support from igus and partners.
Bin picking is impressive—but it takes time to set up and optimize. You’ll need the right camera, lighting, gripper, and patience. Plan for setup time and budget. If you need a fast solution, consider pre-sorting. But if you're ready to invest, bin picking can save serious effort in the long run.
Frequently asked questions about bin picking with robots