Bin picking is never one product — it is a robot arm plus a 3D vision system plus AI grasp planning working as one. This guide compares both the arms and the vision systems that make picking from clutter actually work, with how to choose, what they cost, and where a bare arm stops and a picking cell begins.
Bin picking is a perception problem as much as a motion problem — so the numbers you weigh span both the arm and the vision system that guides it.
The heart of the cell. Structured-light, time-of-flight, or stereo sensing builds the point cloud the robot picks from — accuracy, resolution, and robustness to reflective parts decide what you can pick.
Software that finds a reachable, collision-free grasp on each part in clutter. AI-driven perception generalizes to new SKUs and tangled piles where hand-coded rules fail.
The arm must reach every corner of the bin and lift the heaviest part plus the gripper. Common picking arms run 8–25 kg payload and 0.7–1.9 m reach.
Vacuum, magnetic, or finger grippers — matched to part geometry, weight, and finish. The end-of-arm tooling often decides grasp success more than the arm itself.
Vision compute, grasp planning, and motion together set real throughput. A datasheet's picks/hr assumes clean parts — clutter and mis-picks slow it.
Structured trays, semi-structured layers, or fully random clutter — plus how many SKUs and how varied — drives the vision and AI you need.
| Category | Role | Strength | Best for |
|---|---|---|---|
| Robot arms for picking | Move the gripper to the grasp | Reach, payload, speed | The physical pick and place |
| 3D vision cameras / sensors | Build the point cloud of the bin | Accuracy and part detection | Locating parts in clutter |
| Intelligent controllers / AI software | Plan grasps and coordinate the cell | Grasp success, throughput | Random clutter and high mix |
| All-in-one picking systems | Deliver arm + vision + software together | Faster, qualified deployment | Buyers wanting a turnkey pick |
Manufacturer-published specs, grouped by role — the arms that do the picking and the 3D vision and software that guide them. Figures are nominal — verify against current datasheets for your exact variant.
| Product | Type | Key spec | Note | Best for |
|---|---|---|---|---|
| ABB IRB 1300 | Arm | 10–12 kg / 1.4 m | Fast picking | Compact, quick pick-and-place |
| FANUC M-20iD/25 | Arm | 25 kg / 1.83 m | Pairs with iRVision | Heavier parts, OEM arm+vision |
| Universal Robots UR10e | Cobot | 12.5 kg / 1.3 m | Flexible, easy setup | High-mix, first automation |
| Yaskawa Motoman GP8 | Arm | 8 kg / 0.73 m | Light, fast picking | Small parts, tight cycles |
| Cognex 3D-A5000 | 3D vision | Industrial 3D sensor | Rugged, factory-grade | Reliable structured 3D imaging |
| Mech-Mind Mech-Eye + software | 3D + AI | Camera + perception stack | Turnkey-ish bundle | AI perception for mixed SKUs |
| Mujin | Intelligent controller | Real-time motion + vision | Coordinates the whole cell | High-throughput picking |
| Photoneo MotionCam-3D / PhoXi | High-res 3D | High-resolution point cloud | Static and in-motion scanning | Fully random clutter |
| Zivid 2+ | 3D camera | High-accuracy 3D | Fine detail, color | Precise and reflective parts |
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Photoneo's MotionCam-3D and PhoXi scanners produce high-resolution point clouds that a large share of bin-picking integrators standardize on, because they handle random clutter and difficult part finishes well and pair with most arms. The MotionCam variant can scan parts in motion, which helps cycle time. Photoneo supplies the perception layer; the arm, gripper, and grasp logic are still integrated around it.
Mujin acts as a brain over the arm and vision, planning collision-free motion and grasps in real time to sustain high picks/hr in demanding cells. Rather than a single sensor, it coordinates the whole pick — vision, grasp, and motion — which is why it appears in warehouse and high-throughput industrial picking. It is the choice when raw throughput and reliability at scale are the priority.
Buying the arm and the vision from a single OEM simplifies support and integration. The M-20iD/25 is a fast, rigid arm, and FANUC's iRVision (with 3D area sensors) provides the perception in one supported stack backed by a large service network. The trade-off is a more FANUC-centric ecosystem versus mixing a best-in-class third-party 3D camera with the arm.
Mech-Mind pairs its Mech-Eye 3D cameras with an AI-driven perception and grasp-planning stack, aiming to make mixed and unknown SKUs pickable without hand-coding each part. The bundled camera-plus-software approach shortens integration for high-mix work, though you still choose and integrate the arm and gripper around it.
| If you… | Consider… | Why |
|---|---|---|
| Pick from structured or semi-structured bins | 2D/2.5D vision + standard arm | Known part positions need less perception |
| Pick from fully random clutter | High-res 3D (Photoneo/Zivid) + AI grasp | Unpredictable poses need dense 3D and planning |
| Need high throughput | Mujin intelligent controller | Real-time motion and vision sustain picks/hr |
| Handle reflective or shiny parts | Structured-light 3D | Robust point clouds on difficult finishes |
| Pick mixed, unknown SKUs | AI perception (Mech-Mind / software) | Generalizes to new parts without per-part coding |
Every arm above is just an arm. To pick production parts from a bin it needs 3D vision, grasp planning, a gripper matched to the parts, and integration with error recovery for tangles, mis-picks, and empty bins — assembled and tuned as one system. The arm is often a small fraction of the total cost and difficulty of a working pick.
That is why most manufacturers buy a pre-engineered cell or work with an integrator or turnkey provider rather than assembling components themselves. If you're comparing who builds those systems, see our companion guide to bin-picking integrators.
Relling builds turnkey, AI-native bin-picking workcells — the arm plus 3D vision, grasp planning, gripper, safety, and integration, scoped and qualified off-site and running on your floor in weeks. Closed-loop perception adapts to each part and bin, so high-mix, random clutter becomes a software reconfiguration instead of a re-fixture. If you'd rather deploy a qualified picking system than integrate arm, camera, and software yourself, that's what we do.
See how the Relling bin-picking workcell works →There is no single best bin-picking robot, because bin picking is not one product — it is a robot arm plus a 3D vision system plus AI grasp planning working together. Common arms include the FANUC M-20iD, Universal Robots UR10e, ABB IRB 1300, and Yaskawa Motoman GP8. The 3D vision and perception layer is usually a Photoneo, Zivid, Cognex, or Mech-Mind system, and for high-throughput cells an intelligent controller such as Mujin coordinates the whole pick. The right combination depends on your bins, parts, and throughput.
It depends on your parts. Structured-light 3D (e.g. Photoneo, Zivid) gives high accuracy and handles reflective or precise parts well, which matters for shiny or tightly-toleranced components. Time-of-flight or stereo systems trade some accuracy for speed and range, suiting faster cycles and larger bins. Reflective and mixed-finish parts usually push you toward structured-light sensing plus robust AI perception.
In structured or semi-structured bin picking, parts are in known or partially known positions — trays, layers, or lightly jumbled — so simpler 2D/2.5D vision and a standard arm can locate and grasp them. In fully random bin picking, parts are piled in unpredictable clutter and orientations, which requires high-resolution 3D vision and AI grasp planning to find a reachable, collision-free grasp on each pick.
Picks per hour vary widely with the part, the vision system, and the grasp strategy. Simple, well-separated parts with fast vision can reach high rates, while random clutter, tangled parts, or heavy parts slow the cycle because perception and grasp planning take longer and mis-picks must be recovered. Always benchmark picks/hr on your actual parts rather than trusting a generic figure.
A complete bin-picking cell commonly runs about $80,000 to $250,000 or more, driven mostly by the 3D vision and perception system, the required throughput, and integration complexity. A standard arm on structured bins with 2.5D vision sits at the lower end; high-resolution 3D, AI grasp planning, high picks/hr, and tight line integration push toward the top. Price against your parts and volume.
You can buy an arm, a 3D camera, and perception software separately, but bin picking only works when the arm, vision, grasp planning, gripper, and error recovery are integrated and tuned to your parts. Unless you have an in-house robotics and vision team, most manufacturers deploy through an integrator or a turnkey provider that delivers the whole pick as a qualified, running system.
Editorial buyer's guide compiled by Relling for manufacturers evaluating bin-picking robots and 3D vision systems. Products are grouped by role and listed for comparison, not ranked; inclusion is not an endorsement. Specifications are nominal manufacturer-published figures and vary by variant — verify current datasheets and pricing directly with each manufacturer. Relling builds turnkey bin-picking cells and is described on that basis.
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