Robots that know the place they work.
Industrial robots, cobots, AMRs, inspection quadrupeds and field robots already work in real facilities. What slows them down is a world that changes faster than their maps, and not knowing which asset is which.
- Gauge 7 read · 4.2 bar
- Linked to asset PR-07
- Next checkpoint · valve 12
Robots work from maps that go out of date.
Maps that stay current as layouts and inventory move
Racking moves, pallets land in aisles and lines are reconfigured. A map from last month sends a robot into a blocked aisle or round a detour nobody needs.
Knowing exactly which valve, gauge or machine they are looking at
A reading is only useful when it is stored against the right asset. Gauges and valves that look alike sit side by side, and a robot needs a register to check against.
Safe routes around people and moving equipment
Hot work, maintenance and forklift traffic close parts of a site for hours at a time. Robots need those zones with a start and an end, not a fixed no-go map.
A current map, tied to real assets.
Kaiinos keeps the site model current and links every mission to a real asset. Your robot's own navigation stack keeps control of planning and motion.
Change detection with map updates for the fleet
Repeat surveys, scans and robot telemetry are compared with the current twin to find what has moved, appeared or disappeared. Confirmed changes become a new map version that the fleet retrieves through APIs, with a full change history.
scan 27 Oct vs map v38 3 changes · racking moved in aisle 4 → map v39 available to fleet
Inspection missions linked to a geospatial asset register
Every valve, gauge, pump and panel gets a location and an ID. Missions are built from those assets and viewpoints rather than loose waypoints, so when an asset is moved or replaced the mission follows it, and every reading is stored against the right record.
round PLANT-2-A · 46 assets checkpoint 7 · gauge PR-07 → reading stored against PR-07
Dynamic keep-out and safety zones
Zones are stored as versioned polygons with validity times, so a closed aisle or a hot-work area has a clear start and end. They are exported for the robot's own navigation stack to enforce.
hot work · area C2 valid 08:00-16:00 today → polygon exported to nav stack
Maintenance signals built from every inspection
Readings, images and anomalies flow back into maintenance and enterprise systems through REST APIs. Trends per asset show where a value is drifting, so work is planned on evidence rather than fixed intervals.
PR-07 · last 30 days 4.0 → 4.2 bar, rising slowly → flagged for planned check
For the robots already on site.
Industrial arms
Fixed arms in cells that change whenever a line is reconfigured.
Cobots
Arms working beside people, where safety zones have to match the current layout.
AMRs
Mobile robots on warehouse and factory floors whose layouts keep moving.
Quadrupeds
Legged robots on inspection rounds through plants, stairs and gratings.
Field robots
Wheeled and tracked robots on outdoor asset sites such as substations and plant yards.
From first scan to first deployment.
Start with one site and one machine. Prove it there, then scale.
Pick a site and a machine
We agree on one environment, one robot and the mission that matters most.
Capture and model
We capture the site and build its digital environment on the Kaiinos platform.
Simulate the missions
Routes, tasks and edge cases are tested before the robot arrives.
Deploy and keep it current
The robot goes live on a living digital twin that updates as the environment changes.
Pick your site.
Gauge and valve inspection rounds
Quadrupeds and wheeled robots follow inspection missions built from the asset register. Each reading is stored against the asset ID, so operators see current values, history and exceptions for every gauge, valve or pump.
Maps that follow racking and stock
Repeat scans and robot telemetry show where racking, pallets and temporary obstructions have changed. Updated map versions and keep-out zones are made available to the fleet, so routes reflect the site as it is.
Cobot and arm cells in context
Arms and cobots work within cells that change as lines are reconfigured. The twin keeps cell layouts, safety zones and nearby equipment current, and exports them to simulation so changes are tested before they reach the floor.
Field robots on substations and switchyards
Field robots inspecting a substation or switchyard need every transformer, breaker and gauge located on the site. The register ties each inspection to the right asset, and repeat surveys flag changes in equipment and layout.
Greenhouse robots tested against growing crops
A crop growth model turns biomass into plant height, canopy width and leaf area for each growth stage. The resulting OpenUSD greenhouse scene lets teams check route feasibility, row clearance and canopy contact before robots enter the rows.
Robot scouting modelled on plant protection
Our plant protection work follows a clear loop: transect sampling, threshold checks, spray decisions and re-sampling. The same loop gives scouting robots a structure: where to sample, what triggers action and when to check again.
Frequently asked questions
Does Kaiinos navigate or control our robots?
No. Your robot's own navigation stack plans paths and controls motion. Kaiinos supplies the current map version, the positions of the assets it should inspect and the keep-out zones it should respect, through APIs and file exports your team integrates.
How do inspection readings link to assets?
Each asset in the register has a location and an ID, such as PR-07 for a pressure gauge. Missions are built from those assets, so when a robot captures a reading it is stored against that record. Over time each asset gains a history of values, images and anomalies that maintenance teams can query.
How do you keep robot maps current?
Maps drift because layouts and inventory change. Repeat surveys, scans and robot telemetry are compared with the twin to detect what has moved, appeared or gone. Confirmed changes create a new map version with a recorded history, so you can see what changed and when, and the fleet can retrieve the latest version.
Which simulators do you support?
We export the twin as an OpenUSD scene for NVIDIA Isaac Sim, and the same scene can be exported to Gazebo. Teams use these scenes to test routes, clearances and inspection viewpoints against the current site or, in the greenhouse case, against modelled crops at each growth stage.
Can the twin update from our robots' cameras and lidar in real time?
Not yet. Taking in robot camera and lidar feeds, detecting local changes and updating the shared twin in near real time is the job of our robot perception engine, which we are building towards. Kaiinos Node, the edge sensing device we are developing, will add fixed sensors that catch changes between robot visits. Today the twin updates from regular surveys, scans, telemetry and enterprise system data.
From our field notes
Bring us the machine. We'll bring the world it works in.
Tell us which site and which robots you are running.
Start a pilothello@kaiinos.ai