Robotic bin picking combines industrial robotics and 3D machine vision to automate the identification, localization and picking of randomly oriented parts from bins, containers or bulk storage systems.
Robotic bin-picking applications combining 3D vision, part localization and industrial robot integration.
Unlike traditional robotic handling applications, where components must be presented in predefined positions, 3D vision-guided bin picking enables robots to locate and pick individual objects even when they are randomly arranged, overlapping or oriented differently.
We develop and integrate robotic bin picking solutions by combining advanced 3D vision technologies, industrial robot programming and automation expertise. These systems can reduce manual handling operations, increase production flexibility and improve the efficiency of automated material handling processes.
According to our experience, successful bin picking applications must address several technical challenges:
Part recognition: accurately identifying components with different shapes, positions and orientations.
System flexibility: adapting the picking process to new or different component geometries.
Overlapping components: detecting and selecting accessible parts within randomly arranged or partially occluded objects.
Collision avoidance: managing potential interference between the robot, the bin, surrounding components and the end-effector.
By addressing these challenges, automated bin picking systems can support more flexible manufacturing processes and reduce the need for dedicated part positioning or feeding equipment.
To provide reliable and flexible robotic bin picking solutions, we collaborate with I.S.S. srl, a company specializing in 3D vision technologies for industrial automation and robotic applications. This collaboration combines the 3D CPS vision system developed by I.S.S. with AVIBOT's expertise in industrial robot programming, robotic systems integration and automation.
3D CPS is designed to simplify the development of vision-guided bin picking applications by managing complex operations such as object recognition, part localization and picking strategy generation.
The system offers two key advantages:
Simplified robotic integration: 3D CPS manages essential aspects of object localization and picking, reducing the complexity of developing automated bin picking applications.
Flexible component handling: the system can be configured to recognize and select objects with defined geometries, supporting applications involving different component types and arrangements.
By integrating 3D CPS with industrial robotic systems, AVIBOT develops automated handling applications designed to improve production efficiency, reduce repetitive manual operations and support flexible manufacturing environments.
Our experience in robot programming and 3D vision integration allows us to adapt bin picking technologies to the specific requirements of each industrial application.
Robotic bin picking is an automated process in which an industrial robot uses a 3D vision system to identify, locate and pick randomly positioned components from a container. The vision system analyzes the objects and provides the information needed to perform robotic picking operations, reducing the need for manual part orientation and handling.
Yes. A robotic bin picking system can be configured to recognize and handle different component geometries, depending on their shape, dimensions, material and gripping requirements. AVIBOT works with 3D vision technologies such as I.S.S. 3D CPS to develop flexible applications adapted to specific industrial components.
Yes. AVIBOT can assess the feasibility of integrating a robotic bin picking application into an existing production line or robotic workcell. The integration depends on factors such as the available space, robot specifications, component characteristics, gripping system and interfaces with existing automation equipment.
The main challenges include recognizing overlapping components, determining their position and orientation, selecting accessible parts and avoiding collisions between the robot, gripper and container. Successful integration requires the appropriate combination of 3D machine vision, robot programming and gripping technology.
A preliminary feasibility assessment typically requires information about the components to be picked, including their geometry, dimensions, weight and material. Bin dimensions, required cycle time, downstream operations and existing robotic equipment are also important. Based on these requirements, AVIBOT can evaluate a suitable robotic and 3D vision integration approach.
Share the parts, container and robot type to discuss feasibility and book a demo for your application.