Bin Picking
Background
In manufacturing and logistics, bin picking remains one of the toughest automation tasks in loading, unloading, and feeding. Demand is strong, but recognition, localization, and grasp planning are technically demanding, keeping many small and midsize manufacturers from adopting it.
Industry Pain Points
Occlusion, Fatigue, and Closed Platforms
Parts are randomly stacked, mutually occluded, and placed in unpredictable poses.
Manual sorting is repetitive, physically demanding, and hard to sustain for long periods.
Small and midsize manufacturers need an open platform for secondary development.
01
Cost and ROI
As execution hardware for bin picking, UFACTORY cobots offer competitive hardware cost, improving total project cost and shortening ROI cycles.
02
Open Vision Integration
The UFACTORY 850 built-in Gigabit Ethernet interface provides high-speed, open access for 2D/3D industrial cameras without vendor ecosystem lock-in.
03
Open Development Ecosystem
ROS/ROS2 packages and Python/C++ SDKs help integrators convert 3D vision results and grasp planning into robot motion commands.
04
Plug-and-Play Tooling
The ISO flange and standard I/O support vacuum cups, grippers, and other end effectors for parts with different shapes and materials.
05
Stable Cycle Output
The robot continuously completes recognize, pick, and place cycles, supporting consistent feeding takt and higher downstream line efficiency.
06
Labor Value Release
Robots reduce repetitive bending and picking from bins, moving workers toward higher-value tasks while easing staffing limits and capacity bottlenecks.
Related Case Studies
Bin Picking
Aivero
Aivero combines 3D vision and cloud-based ML with the cost-effective xArm 6, enabling economically viable bin-picking automation for under $10k to tackle global labor shortages.
VR Teleoperation & Autonomous Bin Picking
AMR Labs
AMR Labs developed VR teleoperation and autonomous bin picking applications with UFACTORY xArm.
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