Facility readiness for AMRs is readiness for people: floor, light, noise, boundaries
Before you sign a contract for an AMR fleet, get down to floor level and check four things that no robot will fix for you: floor flatness, the intensity and colour temperature of the lighting, the noise level and the traffic boundaries. This is preparing a facility for robots understood literally, as a physical foundation rather than a table of vehicle parameters. The key observation: an environment that is ready for people is also ready for autonomous machines — and vice versa.
This convergence is no coincidence. Mobile robots and employees share the same space, the same aisles and the same crossings. If a person has trouble there with orientation, stability or reaction, the robot will have it too — only it will express it as a stop, a reading error or a collision. That is why it is worth starting the readiness audit with people's working conditions, because it is the quickest way to see whether the facility is suitable for a mixed traffic model at all.
Preparing a facility for robots starts with the floor
The floor is the layer that is easiest to overlook, because "it's there, isn't it?". The problem is that an AMR travels over it hundreds of times a day, and every deviation in flatness affects the quality of travel and sensor readings. Unevenness, damage, cracked expansion joints and local dips cause vibration, momentary loss of traction and micro-stops. For a person, that means a stumble or a load spilled from a trolley; for a robot, it means a corrupted location and an interrupted task.
In practice, several questions need to be answered before a robot even appears in the facility. Do the travel routes have a uniform, hard surface without thresholds? Are the expansion joints and ramp edges in good condition? Do puddles, oil or dust form at the transfer points and change the coefficient of friction? This is not a question of aesthetics but of repeatability — and repeatability is what every transport automation is built on.
Light: the benchmark of 240 lux and 5000 K
Lighting determines whether markings and boundaries are visible at all — to the employee's eye and to the robot's cameras. A special report by Modern Materials Handling on designing people-friendly warehouses gives as a point of reference an illuminance of around 240 lux and a colour temperature of around 5000 K (MMH, Building a warehouse where people want to work). A cool, neutral colour temperature improves the ability to distinguish colours and contrasts, and adequate illuminance reduces eye strain over a shift.
From the point of view of AMR readiness, it is not only the average values that matter, but also uniformity. Zones that are too dark, sharp light–shadow transitions under skylights and dazzling reflections on the floor can spoil the legibility of markings exactly where it is most needed: at crossings, at drop-off points and at doors. If a person cannot read a zone boundary in weaker light, that is a signal that the robot's vision system is also working with poorer data.
Noise: 40% of workers in the risk zone
Noise rarely makes it onto the "robot readiness" checklist, but it should. The same MMH report points out that as many as around 40% of warehouse workers are exposed to harmful noise levels. This is not solely a matter of health and safety and hearing protection. High noise levels increase stress, reduce concentration and lengthen reaction times to signals — including the warning signals that, in a mixed traffic environment, announce an approaching vehicle.
In a facility where an AMR fleet operates, this is particularly important. A person must hear, or otherwise perceive, the warning of an approaching robot and have time to react. When the background noise is too loud, the audible signal stops working, and safety starts to depend solely on what the employee sees. This is another reason why the visual layer — markings, contrasts, boundaries — must be flawless.
Traffic boundaries: where the person ends and the machine begins
The last pillar of the physical foundation is boundaries. A lack of clear separation between pedestrians, forklifts and robots turns the facility into a space of guesswork, where everyone moves "by feel". That works until an unusual situation arises — and a mobile robot generates more such situations, because it appears in places and at times that people do not always expect.
Good boundaries have three characteristics: they are visible from several metres away, they are unambiguous (a pedestrian knows they are entering a machine traffic zone) and they are consistent between shifts. Physically, they are built from durable floor markings and from separation where colour on the floor alone is not enough. In places with heavy traffic and where the consequences of a collision are serious, a physical barrier wins — one that will stop a vehicle or fence off a pedestrian walkway, rather than merely suggest it.
A practical toolkit for defining these boundaries includes durable floor marking tapes to separate routes and zones, pedestrian protection systems at crossings and intersections, and Raysan barriers where real, mechanical separation of people from transport lanes is needed. This is not an add-on to automation but a condition for starting it up safely.
"AMR readiness" and "human readiness" are the same audit
When we put these four areas side by side, a simple conclusion emerges: there is no separate "robot readiness" and separate "readiness for people". A floor that gives a person a sure footing gives a robot stable travel. Light that lets an employee read a marking provides the camera with a better image. A quiet, predictable environment shortens the reaction time of both sides. Clear boundaries organise traffic regardless of who is moving around the facility.
That is why the simplest first step before an AMR implementation is to sort out the physics of mixed traffic, before the discussion about vehicle specifications begins. If the facility does not give people predictability and safety, it will not give robots a stable environment either.
Physical foundation checklist
- Floor — travel routes without thresholds or damage, sound expansion joints, no puddles or slippery areas at transfer points.
- Light — illuminance in the region of 240 lux and a colour temperature of around 5000 K, uniform without dark patches or reflections on the markings.
- Noise — a background level that allows warning signals to be heard; where noise is high, a stronger visual layer.
- Boundaries — separation of pedestrians, forklifts and robots that is visible from several metres away, unambiguous and consistent between shifts.
Frequently asked questions
Is facility readiness checked before or after choosing the robot?
Before. The physical foundation — floor, light, noise, boundaries — determines whether any AMR will work stably at all. Choosing a specific vehicle without checking these conditions means risking that the robot will reveal the facility's problems only during commissioning, when changes are most expensive.
Where to start if the budget is limited?
With whatever raises safety and legibility the fastest: organising traffic boundaries and floor markings. Durable floor marking tapes, pedestrian protection at crossings and barriers in places where a collision would have serious consequences give the highest return before you invest in correcting the floor or upgrading the lighting.
Where do the values of 240 lux and 5000 K come from?
They are points of reference given in the Modern Materials Handling special report on designing employee-friendly warehouses (source). Treat them as a starting benchmark for your own measurements in the facility, not as a rigid legal standard.
