How to Pick a Picking Robot

The top use case for robots today is picking.

Companies are investing in intralogistics robotics in droves. The reasons are clear. Persistent labor shortages. Continued growth in eCommerce. Always-changing consumer preferences. If you’re evaluating robotics for piece picking, here’s a guide to get you started.

1. Steer clear from stand alone.
The preferred commercial model for robotics is buying an integrated system that includes hardware, software, support and maintenance. The already-integrated robotic system approach is favored because it can accelerate implementation timeframes, speed time-to-payback and increase performance.
chart showing preferred commercial models for planned robotics initiatives including buying the entire solution, subscribing to robot as a service, purchasing the robot, and subscribing to the software.
2. Don’t base decisions solely on a trade show demo.
A standalone robot cell picking “gripper-friendly” items will not give you an accurate picture of robot performance. Ask about computing time for grip point detection with a wide variety of SKUs. Ask how long it takes the system to handle new SKUs. Ask about stand times between storage and retrieval, picking and transport.
pick-it-easy robot gripping a water bottle to demonstrate precise item handling and reliable robotic picking performance in modern fulfillment operations.
3. Insist on a quick study who shares.
Piece picking robots require a “brain.” Or, to be precise, an AI-enabled platform that gives them the ability to handle virtually any item and unstructured scenario. When new SKUs are introduced, the AI platform should be able to infer from past experiences, learn with every grip and share learnings with other robots via the cloud.
graphic displaying the text By 2026 75 percent of large enterprises will have adopted intralogistics smart robots in their warehouse operations according to Gartner.
4. Make sure they’re precise and gentle.
For autonomous robotic picking, robots have to be able to “see,” so they know which gripper to use and how best to grasp individual items. Robots must also be able to calculate the perfect placing point, so they can gently and precisely place items for tight packing and “no air” shipping. AI placing algorithms make this possible.
robotic gripper handling items with precision to demonstrate end‑of‑arm tooling capabilities for automated picking in warehouse operations.
5. Don’t forget the bigger picking picture.
If your piece picking robot can’t be fully integrated with shuttle, transport and warehouse management and control systems, performance will be degraded. Integration and orchestration are essential for meeting cut-off times and service levels. Make sure there is good logic, so the right orders are assigned to the right robots for fast and reliable picking around the clock.
bar chart showing current robot use cases with picking at 63 percent, sorting at 50 percent, and replenishment at 31 percent to illustrate which warehouse processes organizations are addressing with robots today.
6. Select a product and a partner.
Don’t just pick a product. Pick a partner that can help you build logistics value over time. Make sure they have the intralogistics know-how to help mitigate labor shortages by minimizing manual touches. Discuss implementation and expertise in your industry. Make sure they have an extensive customer service network and that you will have a single point of contact.
donut chart showing responses to the question about using or considering large‑scale intralogistics automation such as conveyors, sortation, or shuttles, with 69 percent answering yes, 23 percent no, and 8 percent unsure.

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