STEM & Digital Twin Module
PAS plus x-AI β Digital Twin Lab
Drive a virtual warehouse robot through a state-machine workflow. Speed and prioritization adapt in real time to scheduled rush hours and live sensor volume spikes.
Digital Twin β Warehouse Robot
1100ms/cell 0/0 sorted
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C
B
A
Sensor Volume
28
Peak Schedule
Morning Rush Β· Lunch Peak
Currently in peak window
Queue
0 items waiting
0 delivered
Recent Adaptations
Congestion Control: 700ms β 1100ms β Scheduled peak β throttle for traffic
Digital Notebook
Unsaved β press Save Session
State Machine
Transition delay: 500ms Β· Active: idle
Idle / Standby
entered 2:20:21 PM
Navigate β Pick Zone
Picking Item
Transport β Sort Station
Sorting Item
Return β Home
Analytics Dashboard
Performance across saved simulation sessions
3
Sessions
40%
Avg Completion
40%
Avg Efficiency
12
Items Sorted
Students needing additional support
- samson NetsereabEfficiency 0% Β· 0/1 sorted
- Marco DiazEfficiency 40% Β· 4/10 sorted