Robotic Warehouse Automation
Orchestrate and optimize the work of people and robots with Jennifer™
As autonomous mobile robots (AMRs) find their place in the DC, your challenge is to coordinate and optimize the tasks of humans and their robotic coworkers. Our Jennifer™ AI solves this problem, helping you hit your cost, quality, and service targets with fewer AMRs and fewer labor hours. Jennifer™ can help you:
- Alleviate labor challenges using robots in multiple workflows
- Maximize productivity by dynamically allocating workers and robots
- Improve ergonomics and eliminate workplace injuries
Create dynamic, efficient warehouse workflows combining people and AMRs
Next-generation DCs combine robots and people in adaptable, fluid processes that set new standards for accuracy and efficiency. Jennifer helps you manage people and AMRs with AI, smart software, and mobile technologies to maximize robot use while minimizing labor.
Work Creation and Planning. Jennifer™ manages work creation and planning across tasks and activities, including picking by zone, order consolidation, replenishment, receiving, and putaway.
Continuous Resource Allocation. Jennifer™ dynamically allocates labor and robots (by task, zone, etc.) based on availability and work priority.
Work Optimization. Jennifer™ optimizes work for travel reduction and to maximize lines/picks per hour in manual pick zones, and in those using AMR-assisted picking.
Work Orchestration. Jennifer™ directs, schedules, and interleaves work amongst workers and robots.
How Robots Work With People
Robots can perform order picking, product putaway and in-warehouse transfers, among others. Jennifer™ coordinates these processes, communicating with robots and directing workers by voice. Workers confirm their tasks using voice, scan, RFID, or robot-mounted screens or lights. Lucas warehouse automation software can help you with these robot-assisted processes:
Robot-to-goods picking. AMRs travel among workers in pick zones, stopping at pick locations where workers (directed by voice) pick and put items in the appropriate tote on the AMR. Multiple robots meet each worker, who can remain in a smaller pick area.
Goods-to-person picking. AMRs carry products in totes or stowed on moveable shelves to pick-stations where workers pick, scan, and place items in totes for shipping.
Follow-the-robot picking or replenishment. AMRs function like powered, intelligent picking carts or pallet jacks. Jennifer™ AI creates batches, improving density and enabling each AMR to carry more orders.
Transit robots. Voice-directed workers use carts in designated picking aisles, off-loading completed totes or cartons at staging locations. Jennifer then notifies an available robot to fetch and transport the tote to its next destination.
Full pallet moves. Robots can perform full-pallet put-away or replenishment moves, replacing people in one of a DC’s most travel-intensive activities. When a worker calls a slot empty, Jennifer™ can notify an AMR that a let-down is needed.