RS Hyper RoboShuttle Climbing AMR System Boosts Tote Throughput

Geekplus' RoboShuttle Hyper climbs at up to 4.9 ft/s (1.5 m/s) and uses double-deep, bidirectional tote retrieval.

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.

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