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Where an unmanned platform makes the difference

Not every task needs an unmanned system. But there are three patterns where it almost always pays off: when the place is dangerous, when the work is monotonous, or when there is simply no one left to do it.

The applications below differ in sector and in payload, but they share the same logic. Danger means the route to the objective is itself the risk — heat, gas, collapse, moving traffic. Monotony means the task is not difficult but long and always the same, which is why in practice it happens less often than intended. Staff shortage means the work would need doing, but there is no longer anyone to do it.

What changes between applications is rarely the platform. It is the payload on top, the size, and the question of how much the vehicle should decide for itself. That is why each application lists the building blocks it is made of.

Some of these applications are in practice today, others are the subject of ongoing conversations and projects. We do not label that in the abstract — we will tell you specifically for your case. Ask us.

Emergency response and rescue

Emergency response and rescue

Situations where the route to the objective is itself the hazard — heat, smoke, gas, risk of collapse. The platform goes in, the crew stays outside.

AI-generated

Firefighting

Attacking industrial, tunnel and vegetation fires where approaching is too hot or too unsafe. The platform holds position and directs the jet while the crew stays at a safe distance.

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Building blocks: Water monitor payload · Thermal camera payload
AI-generated

Hazardous materials and CBRNE

Clearing a zone by measurement before anyone enters it — oxygen, methane, carbon dioxide and more. Sampling, and recovering or securing objects from the contaminated area.

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Building blocks: Gas detector cluster payload · CBRNE mapping payload
AI-generated

Explosive ordnance disposal

Driving up to suspected finds, assessing the situation from a safe distance and handling objects without anyone standing next to them. The platform brings camera, sensors and manipulator to the object and moves it if required — for civil ordnance disposal services and police bomb squads. The assessment and the procedure stay with the specialists; the vehicle replaces the walk there, not the decision.

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Building blocks: Manipulator payload · RGB camera payload · CBRNE mapping payload
AI-generated

Reconnaissance, recovery and search

After a collapse, storm or explosion: surveying rubble, locating trapped people, pulling loads out of the danger zone. The winch also helps the platform itself off soft ground.

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Building blocks: Winch extension · Manipulator payload
Operations and maintenance

Operations and maintenance

Recurring rounds across large sites — tasks that are less dangerous than simply monotonous, and therefore rarely happen at the interval they are supposed to.

AI-generated

Plant inspection

Thermography on pipework, pumps and switchgear, reading gauges, detecting leaks and hot spots. Every round returns the same data set — and therefore a trend rather than a snapshot.

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Building blocks: Thermal camera payload · RGB camera payload
AI-generated

Site patrol and surveillance

Night rounds on industrial sites, substations, landfills and data centres. The platform drives the route on its own, reports deviations to the control room and returns to its charging station.

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Building blocks: Lighting extension · Docking station
AI-generated

Material transport on site

Moving tools, spare parts or samples between buildings and plant sections — including into areas staff should not enter repeatedly. From PALLAS.150 upwards in pallet dimensions, so it fits existing materials handling.

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Building blocks: Transport and load module
Traffic, open land and vegetation

Traffic, open land and vegetation

Work along transport routes and across large areas. Two things matter here: the safety of the people doing the work, and the economics of long, uniform routes.

AI-generated

Securing mobile work zones

On moving roadworks, mowing and cleaning operations on motorways, a crewed vehicle currently secures the convoy from behind — and carries the risk of being rear-ended. An unmanned platform takes that position with nobody sitting in it.

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Building blocks: PALLAS.1200 and PALLAS.2400 · Lighting extension
AI-generated

Vegetation and embankment maintenance

Mowing verges, embankments and noise barriers — often on slopes that are awkward for crewed machines. The gradeability of a tracked platform is the real advantage here.

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Building blocks: PALLAS range · Custom payload
AI-generated

Agriculture and specialty crops

Mechanical weed control, sowing, crop protection and soil cultivation — in continuous operation and at lower ground pressure than a heavy machine. A field is a uniform, easily mapped environment and therefore an obvious case for autonomy.

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Building blocks: LiDAR payload · Generator extension
AI-generated

Forestry and environment

Driving through stands, recording condition data, moving material — on tracks too soft or too steep for wheeled vehicles. Plus wildfire prevention and observation of areas that are hard to reach.

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Building blocks: Thermal camera payload · Winch extension
Data, construction and development

Data, construction and development

Applications where the result is not work done on an object but the data set collected — or where the platform itself is the subject of the work.

AI-generated

Surveying and mapping

Laser scanning of interiors, plants and terrain. From the ground, the data set is captured at working height — where a drone cannot reach or is not allowed to fly.

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Building blocks: LiDAR payload
AI-generated

Construction and extraction

Documenting construction progress, surveying stockpiles, moving material into areas not yet released. In surface and underground mining there is the added point that the platform can enter zones closed to personnel.

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Building blocks: LiDAR payload · Transport and load module
AI-generated

Research, development and teaching

PALLAS.75 as a basis for your own work: a documented payload interface, a three-tier control concept and a compute layer separated from vehicle control. Universities and development departments build their own sensors and algorithms on top instead of building a platform.

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Building blocks: PALLAS.75 · Custom payload

Your application is not listed?

This list reflects what we are talking about today — it is not exhaustive. If you have a route your people currently have to walk themselves, a conversation will settle whether a platform is suited to it.

Discuss your application See the products