Best Robots for Retrieving Totes From Tall Warehouse Racks 2026

Picking totes and cartons from pallet-height warehouse racks is a critical aspect of automated order fulfilment. It's not just the overall storage capacity of the system: a lot of factors influence how well the system performs, including the ability to reach the right storage location and deliver the correct container to the picking point.

This table ranks Hai Robotics HAIPICK A42, Geekplus RoboShuttle and Addverb Veloce against the same task - grabbing a tote or carton from storage racking and getting it to a picking station.  To keep the comparison consistent, all three are assessed at a common shelf height, container size and load.

We evaluate the systems in five categories: rack and container compatibility; retrieval and transfer; storage density; picking-station integration; and recovery from errors. The scores listed here are based on the scores and marks provided in the supplied Robot24.com Market Research Database. Please verify the actual robot SKUs, rack configurations and system bundles before using model-specific specifications or claims of availability.

 

AT A GLANCE

 

The Robots Behind the Rankings

1. Hai Robotics HAIPICK A42

Overall score: 87.0/100

Hai Robotics HAIPICK A42 Number one for rack and container compatibility and retrieval and transfer and storage density 9/10. Also scored highly for its ability to integrate with pick-stations (8/10) and recover from exceptions (8/10).

Its top ranking is a result of good results in every step of the shared task: reaching the designated storage location, interacting with the container and moving it through the warehouse chain. High storage density is a good aspect of its score.

For operations looking at the system, the question is if the configuration provided will pick the tote or carton from the required shelf height and deliver it to the picking station repeatedly. Buyers should check the container sizes, load rating, and rack layout and system configuration to be sure it fits their needs.

The provided HAIPICK brochure is a good product reference and should be used as such only after confirming the exact configuration before citing brochure specifications as evidence for any given deployment.

2. Geekplus RoboShuttle

Overall score: 86.0/100

Geekplus RoboShuttle scores the highest in the section of rack and container compatibility, storage density and picking-station integration 9/10 and 8/10 for retrieval and transfer, and recovery from exceptions.

The biggest strengths are in storage access, use of space, and linkages to the picking process. These features are relevant for warehouses that do not just want a container accessed but want to actively relocate into an efficient picking system.

Moreover, the system name is RoboShuttle, not a more specific robot SKU for a robot-levelity claim. Buyers would need to specify the actual robot SKU, rack configuration, and system package being sold.

Because this makes a difference for operating height, what they fit into, how much they can carry and how available they are. Check to ensure this doesn't vary from one RoboShuttle model to another.

3. Addverb Veloce

Overall score: 82.5/100

Addverb Veloce ends this evaluation with results of 9/10 for retrieval and transfer and 8/10 for rack and container compatibility, storage density, picking station fit and recovery from exceptions.

Its most supplied grade is for central retrieval. For a warehouse, the practical worth is how well the system retrieves the container needed, progresses it throughout the plant and slips it into the choosing station.

The rest of the marks suggest that the other four metrics are consistently tracked. Prior to deployment, the operators should confirm the precise Veloce configuration, rack configuration, compatibility with specific container sizes and the procedure for handoff at the picking station.

A like-for-like demonstration using the same shelf height, container and load would provide a more meaningful comparison than headline specifications alone.

The best fit depends on retrieval throughput

Hai Robotics HAIPICK A42 takes the top place in this ranking for overall score, with a high score in rack compatibility and retrieval / storage density. It is the highest ranked option in the analysis for warehouses were optimising the entire storage-to-picking process is a priority.

The Geekplus RoboShuttle comes next with high scores on storage density and picking-station integration. Specific Geekplus RoboShuttle robot SKUs and rack configurations need to be known before making any model-specific comparisons.

Addverb Veloce performs highly in retrieval and transfer, thus the container movement process is a crucial criterion.

This ultimate KPI is the number of requested totes that arrive at the picking station with a given order mix per hour. This will be a function of shelf height, container size and load, travel distance, station handoff and how each system manages retrieval exceptions.

 

RANKING EXPLAINED

 The shared task is to pick a tote or carton from storage racking and bring it back to a picking station. All systems should be compared on the same level of the shelf, load size and capacity.

SCORING DETAIL

 

The overall scores as supplied have been left as they were. The question of weighting was not included as part of the source data. If taking the simple average of the five marks, this would give a figure of 86.0 for HAIPICK A42, 86.0 for Geekplus RoboShuttle and 82.0 for Addverb Veloce. The marked scores therefore need to be checked against the original weighting or scoring.

 This is a comparative editorial review based on the provided scores and system data; not a direct comparison test, in a simulated warehouse environment. Performance may vary by rack geometry, shelf height, container size, container weight, order mix, travel distance, picking-station configuration. Manufacturer specifications should not be construed as independently tested performance figures. Geekplus RoboShuttle is the product name of the system. Please specify robot SKU and rack configuration for model-specific specs and availability.