Open recorded models and results in Studio. Find drawings, files and starter models here.
Recorded workflows, synthetic inputs
Turn one floor plan into the whole set
Change the layout to match the goal
Propose a layout change for an existing floor
Compare shelves and clear routes
Compare reception and payment flow
Propose a layout from a brief
Turn photos into an editable model
Revise and reissue drawings
Compare robot counts and layout changes
Change, compare and reopen a building
Find a layout within your constraints
These recorded projects use synthetic inputs. Photos and drawings show what was produced; site accuracy, business effects and photorealistic reconstruction are not established.
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Plan a night shift for a three-storey office and see what robot vacuums change in finish time and staff hours.
Set robots from 0 to 2 with the same two cleaners, then cut to one cleaner. Try another washroom time or the robot rate from a data sheet.
Size a scrubber fleet for a three-level mall at night: how many robots, and where they fill and drain.
Go from 2 to 4 scrubbers, then open the second fill point. Try the robot model's own rate, battery hours and charge time.
See how the moving-season queue builds at a ward office, and what more counters or pre-filled forms change.
With the same residents and seed, open 16 counters instead of 13 (moving in/out 6 → 8, health insurance 3 → 4), or keep 13 and cut the mean moving in/out time from 13 to 9 minutes with pre-filled forms.
See whether a third delivery robot or a lift rule gets the morning blood specimens to the lab sooner.
With the same morning, compare 2 and 3 robots; then keep the service lift for the robots by sending the meal trolleys by the bed lift (0); or send fewer, larger specimen boxes (every 20 or 30 minutes).
See how many serving robots a family restaurant needs at the dinner peak, and how much carrying they take off the floor staff.
With the same 73 parties, compare 1, 2 and 3 robots, then keep 1 robot and add a fourth server. Change how long plates wait for a robot (passWaitSeconds), or move the robot chargers or a row of tables and run again.
Price a new client's afternoon wave: how many pickers and pack stations get every order to the carrier by the cut-off.
With the same orders, add pickers (4 → 6), then open a third pack station (2 → 3); or change the share of orders with mezzanine lines, the packing time or the cut-off.
Are the trucks waiting on the forklift or on the AMRs? See which extra vehicle gets them off the docks sooner.
Compare 2 AMRs · 1 forklift with 3 AMRs · 1 forklift and with 2 AMRs · 2 forklifts on the same trucks and orders; then try 25 s pallet handling or 7 pallets a truck.
See which line sets the opening-morning wait: the walk-up counters, the QR kiosks or the bag check.
With the same visitors, open 6 counters instead of 4, switch on all 8 kiosks, raise the pre-registered share from 70% to 85% (with 4 or 8 kiosks), or open fewer bag check lanes.
Size the fitting rooms and tills of a two-floor fashion store for a Saturday afternoon.
With the same shoppers, open 4 fitting rooms a floor instead of 2, then a third till as well; or change the share who try on or the time at the till.
See how long fixtures stay short on a Saturday with one or two stock assistants.
With the same gaps, add a second stock assistant; or change how many gaps open an hour, or the pick and fill times.
See where Saturday shoppers wait: the staffed lanes or the self-checkout pod.
With the same shoppers, move the shares from 70/30 to 60/40 and 50/50, cut the mean scanning time from 90 to 60 s, or move lane 8's break out of the peak (breakStart 900 → 2400 s).
Watch a morning departures bank build a security queue while two flights arrive below.
Compare 3, 4 and 5 open security lanes with the same passengers and seed, then raise the passenger rate by a quarter, or the fast-track share from 15 % to 30 %.
Watch a Saturday afternoon on all three levels and see where the food court queues.
Cut the mean cooking time from 120 to 90 s, or move the food-court share from 45 to 30 or 60, with the same visitors.
Can the plant ship every order within the hour? See whether test, AMRs or machining decides.
Set the test to 240 s (the hour is missed), then 120 s; compare 2, 3 and 6 AMRs in service and a longer CNC cycle with the same orders.
See whether the pick stations or the robot fleet limit a goods-to-person picking shift.
With the same orders, compare 16, 24 and 32 robots in service; then cut the pick time from 24 to 16 s, or the orders from 1,000 to 800 per hour.
Deliver 24 parcels from the mailroom to two office floors using one shared lift.
Compare 2 and 4 robots: 12 parcels per office floor, one per floor every 20 seconds; the lift and routes stay the same.
Line 2 moves to a 60 s takt. Can one water spider still keep four stations supplied, or do they stand starved waiting for bins?
Compare 1 water spider with 2, with a third kanban card for every part and with a 25 s pick in the supermarket, on the same 120 units; then try buffers of 1 or 4, a 65 s takt or 15 % rework.
Watch a konbini lunch rush: registers, coffee, eat-in seats and restocking at once.
Compare 2 and 1 cashiers, then payment times of 35 s and 25 s, with the same shoppers and seed.
See whether the tills or the espresso bar hold up a café’s morning peak.
With the same 90 guests per hour, compare 1 and 2 baristas, then a 40 s and a 60 s order at the till. A third barista adds nothing while there are two machines.
Run a morning at a logistics hub and see whether trucks wait for a dock or for the check-in window.
Open 6 or 10 of the dock doors instead of 8; give the check-in window a third person; cut the forklifts to 6; or raise the peak to 30 trucks an hour.
See how a bridge between two buildings changes the plaza and the escalators on a Saturday across four buildings.
With the same visitors and seed, set cinema trips by the L3 bridge to 0 %: the site without the bridge (the connection stays; every cinema trip goes round by the ground floor). Then try 50 %.
Play a weekday morning on a four-block estate and see where people wait for the lifts.
With the same residents, put every parcel in the delivery boxes (boxes 100, doors 0) or take every parcel to the door (0 and 100); raise the residents leaving per floor from 6 to 12; or give each block two lift cars.
An editable farm with three greenhouses, a packhouse and cold store, plus four harvest-to-dispatch simulation scenarios.
Move a greenhouse, change its roof height or rearrange the packing area.
Compare staffing schedules and cart availability against the same picking list and dispatch deadline.
Add a picker at the start or after 15 minutes, then test a shortage of carts.
Explore six security cameras and the shelves in visitors’ assumed view, using a saved lunch-hour simulation in an editable convenience store.
Cameras. Inspect the six cameras’ coverage and blind spots, and the people on camera during the saved lunch hour.
Gaze heatmap. See which shelf faces came into visitors’ assumed view during the saved lunch hour, from their recorded movement.
The lunch hour’s run is saved with the model, so it plays without a paid plan. Running it again with other settings needs Pro.
Change a camera’s position or lens, then inspect its coverage and blind spots.
A three-level exhibition campus with 48 stands, eight conference rooms and an opening-day service comparison.
Compare registration and catering capacity under the same 360 visitor arrivals.
A two-level logistics centre with 24 vehicle bays, 50 rack bays, packing cells and a receiving-to-dispatch comparison.
Compare carrier, inspection and packing capacity under the same 120 inbound loads.
A six-storey ward tower and a clinical block joined by a bridge, where delivery robots share lifts with visitors, staff and bed transfers.
Compare four and five delivery robots under the same meal, pharmacy, specimen and visitor demand.
An 18-storey office and residential tower over a retail podium, modelled from five drawing sheets, with the weekday morning peak through its lobby, café and lifts.
Compare the café as drawn with two baristas against the café extended into Unit R3 with a second counter and four baristas.
A two-storey electronics plant modelled from two drawing sheets: four SMT lines, test and packing upstairs, a parts warehouse and kitting downstairs, joined by AMRs and a goods lift.
Compare kitting in the south-west corner as drawn against the same kitting furniture moved beside the lift lobby, with two AMRs and the same batch schedule.
The main hall of a real market building, modelled from ten interior photographs: walls, windows, doors, stage and coved ceiling, checked by drawing the model from each photograph’s viewpoint.
Give the model one measured size, such as the hall’s 9.42 m width, and scale the rest; or add the vestibule and the porch from exterior photographs.
A 60 × 100 m exhibition hall with 40 stands, a main stage and a streaming camera, where the stage is tried at the far end, in the centre and by the entrance.
Compare three stage positions under the same 480 visitors: the stage and its audience area swap places with a block of 20 stands.
Follow loaded and empty AMRs in a factory supply study. Compare the current layout, a second robot and a closer pickup under the same 48 requests.
Explore the 3D supply study →All examples are synthetic. They demonstrate the calculation, not the performance of an operating site. Two numeric examples use supplied distances and capacities rather than spatial paths.
Follow the edit, check and save walkthrough →
