RS Hyper RoboShuttle Climbing AMR System Boosts Tote Throughput
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Nov. 13, 2026
2 min read
Fulfillment operations facing order surges and limited floor space need more robots retrieving totes at once without adding congestion. Geekplus' RoboShuttle (RS) Hyper is a tote-to-person climbing AMR system that runs multiple robots at the same time within a shared rack structure, moving totes from dense, high-bay storage to picking workstations. It delivers up to 6,000 totes/h in 10,764 sq ft (1,000 sq m), increasing throughput without expanding the footprint.
Applications
- Tote-to-person order picking
- High-bay tote storage and retrieval
- Order consolidation
- Fresh-food and cold-chain fulfillment
Industries
- E-commerce and quick-commerce fulfillment
- Micro-fulfillment centers
- Regional distribution hubs
- Consolidation warehouses
Who It's For
- Sites facing order surges, high SKU counts, and peak-season demand
- Space-constrained facilities needing more throughput in the same footprint
- Operations scaling storage, robots, and workstations in phases
- Sites planning to add robotic or humanoid item picking
Features:
- System throughput: Up to 6,000 totes/h per 10,764 sq ft (1,000 sq m)
- Max Workstation throughput: Up to 800 totes/h with dual-point continuous tote feeding
- Climbing speed: Up to 4.9 ft/s (1.5 m/s)
- Storage height: Up to 49 ft (15 m)
- Charge-to-discharge ratio: 1:10, helping maintain availability during peak periods
- Robot density: More than 250 robots per 10,764 sq ft (1,000 sq m)
- Fleet scheduling: Up to 5,000 robots across 538,196 sq ft (50,000 sq m) and 3 million storage locations
- Tote fall protection: Multilayer, limiting fall distance to 2 in. (50 mm) or less
- Parallel horizontal and vertical climbing across adjacent rack columns, with only two columns locked during operation
- Two robots per rack column on a single rail
- Double-deep, dual-pass, bidirectional tote retrieval to reduce climbing cycles and increase storage density
- Two drive aisles beneath each rack form a bidirectional traffic grid to reduce congestion and speed dispatching
- Motion-control algorithms for faster travel and tighter positioning accuracy during retrieval
- Column-rail-integrated structure with decoupled beam loading
- Real-time tote misalignment detection and re-centering
- Supports human or automated item picking
- Expandable storage, robot fleet, and workstations on the same system architecture
- Compatible with RoboSafe safety vests, Robot Arm Picking Stations, and the Gino 1 humanoid robot
Geek+
Suwanee, GA
(470) 730-0617
[email protected]
geekplus.com
Contributors:
This piece was created with the help of generative AI tools and edited by our content team for clarity and accuracy.
