What the robot is being asked to carry
Indoor delivery robots are designed to transport items over defined routes, usually within a property. A restaurant may use one to support table service or move dishes between a pass and a service zone. A hotel might consider one for supplies or selected corridor deliveries. These are different jobs, and the relevant machine configuration depends on the items, route, staffing and service style.
Start with the load, not a headline capacity. Check the manufacturer's documentation for rated payload, tray dimensions, distribution limits, door or compartment design, cleaning instructions and any restrictions on food or liquids. A device able to carry a particular total weight may still be a poor fit for tall plates, hot drinks or fragile items. Avoid assuming that one capacity number describes every operating condition.
Routes, sensors and the crowded bit
Autonomous navigation generally uses a map and onboard sensors to locate the unit and react to nearby obstacles. Hardware and software differ by system, so ask for the actual navigation documentation and a site assessment. A route through an open lobby isn't the same as a narrow dining room where chairs shift every few minutes.
Operators should observe peak and quiet periods. Note tight turns, queue points, polished or uneven surfaces, thresholds, ramps, rugs, temporary signs and areas where people naturally pause. A blocked route may trigger a stop or reroute, but it still needs a staff response plan. Guests should not be expected to guess what a stopped machine wants.
Elevators and doors deserve separate attention. Cross-floor delivery might require compatible elevator controls, building permission and tested safety procedures. Automatic doors may be accessible in one part of a property but not another. Never assume the robot can open doors or call and ride every lift simply because a product demonstration showed a corridor journey.
Design the handoff
At the destination, who removes the order? How does the unit identify the intended table or pickup point? Who checks that the right items arrived and what happens if a guest has a question? The handoff can be as simple as a clearly marked pickup point or as involved as a staff member completing service. Either way, make it understandable and accessible.
In a restaurant, the robot may support repeatable transport while servers remain responsible for guest context, special requests, presentation and clearing. In a hotel, delivery to a defined point may be more workable than expecting the machine to negotiate every corridor and room access scenario. A good task boundary prevents awkward moments and helps staff know when to take over.
Capacity, charging and care
Capacity selection is a workflow decision. Compare the real number and shape of items moved per trip, the need to separate orders, and how frequently the route runs. Consider where the machine waits, where it charges and how staff keep trays or compartments clean. Charging arrangements should not create a trip hazard, block an egress route or compete with essential equipment for a socket.
Cleaning routines matter around food. Ask which surfaces can be cleaned, what products are permitted, how often contact surfaces need attention and how the device is taken out of service. Maintenance planning should cover routine inspections, software support, replacement parts and what happens during downtime.
Benefits without the oversell
A delivery unit may make selected transport more repeatable and reduce walking on a suitable route. It can also add congestion, demand supervision, interrupt service if a route is blocked and require staff time for loading, unloading and cleaning. The total result depends on the property and task—not a generic promise of faster service.
Before a pilot, record the route and task, agree a safe operating boundary, train the people who work nearby and define how interruptions are logged. Ask vendors to demonstrate the intended workflow in conditions that resemble service hours. Copenhagen's compact dining rooms and Berlin's broad hotel corridors illustrate different planning challenges; neither is a universal template. Measure what matters locally, check the specifications in writing and keep a human fallback close at hand.