Full automation (goods-to-person ASRS) requires massive capital and works only in specific facility designs. Manual picking is labor-intensive and ergonomically harmful. Human-cobot collaboration solves the "middle ground" problem: augmenting existing manual operations with mobile robots that eliminate the low-value travel component while keeping humans for the high-value grasping, judgment, and exception-handling component.
An AMR fleet moves through the warehouse carrying order totes or carts. The system-directed software assigns each worker a zone and sends cobots to meet them. The robot's display or pick-to-light interface shows the worker which item to pick, from which location, and into which tote. After picking, the worker taps a confirmation; the robot moves to the next location or, once full, autonomously delivers completed totes to a packing station while a fresh robot arrives. The system dynamically re-zones and rebalances work based on real-time congestion and order priority. Workers walk only within their local zone (typically one aisle), while robots handle all inter-zone transport.
Collaborative AMR (zone-picking cart type) + system-directed work assignment engine + pick-to-light or display-guided interface + worker zone balancing algorithm + fleet management platform.
A single-source-of-truth transactional record that tracks every inventory unit's identity, quantity, location, lot, and status in real time.
Item location data must be available for cobot guidance.
Grouping customer orders into executable batches (waves) or releasing them continuously (waveless) to optimize pick-path efficiency and carrier.
Order pick lists drive task assignment to workers and cobots.
Centralized coordination of AGVs and AMRs for material transport — dispatching, routing, traffic management, and handoff with fixed automation.
Real-time robot fleet status is required for zone balancing and dispatch.
Nothing downstream yet.
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