MagLoc

Intelligent localization, powered by ambient magnetic fields.

No infrastructure. No external beacons. Robust positioning—anytime, anywhere.

Satellite signals fade where operations continue.

Satellite signals can weaken or become unavailable as robots move beneath roofs and into buildings.

One amber robot travels from an open yard beneath a warehouse canopy. Satellite signal lines fade under the roof, while a blue uncertainty ring expands around its position.

When every aisle looks alike, location becomes ambiguous.

Repetitive geometry can make different aisles and corridors difficult to distinguish.

The same amber robot is inside a warehouse with repeated green shelving. Several hollow blue candidate-position rings appear in similar aisles; they are possible positions, not additional robots.

Visibility changes faster than the route.

Changing light and moving obstacles can interrupt the visual features used for localization.

A moving load crosses the amber robot’s scanning field in a dimmer warehouse. Some visual feature points disappear behind the obstacle, but the actual amber route remains visible.

Without a dependable reference, uncertainty grows.

Uncorrected motion estimates can drift. Fixed positioning markers add installation and maintenance work as sites evolve.

The robot rounds a bend along a solid amber actual path. A dashed gray-blue estimated path diverges from it. Fixed beacons, reflector panels, and floor markers appear around the warehouse.

Magnetic can solve these challenges.

A blue, teal and warm-toned heatmap covers the warehouse floor, illustrating magnetic field features beneath the amber robot and its actual route.

Turn Ambient Magnetic Fields into a Positioning Reference.

MagLoc captures spatial magnetic patterns, builds magnetic maps and matches subsequent observations to support robot localization. The positioning information can complement existing onboard sensing and navigation systems.

  1. An amber robot moves through a miniature warehouse, collecting magnetic samples along its route.
    01

    Sense

    Capture ambient magnetic field measurements.

  2. The discrete magnetic samples from the sensing stage gradually interpolate into a continuous colored reference map. No robot is shown.
    02

    Map

    Interpolate magnetic samples into a spatial reference map.

  3. Live observations are matched to the magnetic map. Blue candidate positions converge to an amber position lock around the robot.
    03

    Localize

    Match magnetic observations to the map for positioning support.

Simple. Flexible. Reliable.

MagLoc adds an onboard sensing and digital mapping layer to existing mobile platforms—helping reduce physical site modifications, strengthen positioning continuity, and scale across evolving routes, sites, and fleets.

Lower site dependency

Reduce reliance on a dense layer of beacons, reflectors, QR codes or magnetic tape installed across the operating environment.

Faster retrofit path

Add a positioning layer through onboard sensing, mapping and software integration instead of redesigning the whole site.

Operational continuity

Provide an independent absolute reference that can complement odometry, LiDAR, camera or radio systems.

Scalable map operations

Build, load and update digital magnetic maps as sites evolve, with no physical positioning markers to relocate across every route.

Reliable real-time positioning across diverse operating environments.

From production floors to logistics yards and public facilities, MagLoc is designed for mobile robots that need continuous position awareness across repetitive, GPS-challenged or visually degraded routes.

Warehouses & factories

Warehouses & factories

Repetitive aisles, moving inventory and visually similar zones.

Potential environments

  • Warehouses
  • Fulfillment centers
  • Manufacturing plants
  • Automotive factories
  • Semiconductor fabs
  • Cold-storage facilities
  • Pharmaceutical production facilities
  • Assembly and production lines

Typical robot tasks

Typical tasks include pallet transport, line-side delivery, autonomous forklift and tugger operations, inventory counting, and equipment inspection.

Container yards & logistics hubs

Container yards & logistics hubs

Metal-dense routes and open-to-covered transitions.

Potential environments

  • Seaports and container terminals
  • Intermodal rail yards
  • Freight depots
  • Cross-docking centers
  • Air-cargo terminals
  • Parcel sorting hubs
  • Trailer yards
  • Port warehouses

Typical robot tasks

Typical missions include terminal tractor positioning, container inspection, on-site cargo transfer, AGV operation, and seamless indoor–outdoor navigation.

Healthcare & service robotics

Healthcare & service robotics

Corridors, low light and frequent human movement.

Potential environments

  • Hospitals
  • Healthcare campuses
  • Elder-care facilities
  • Rehabilitation centers
  • Hotels and resorts
  • Shopping malls
  • Airports and transit terminals
  • Commercial and office buildings

Typical robot tasks

Typical tasks include medication and specimen delivery, ward supply transport, cleaning and disinfection, meal delivery, luggage transport, and indoor service.

Safety & security

Safety & security

Indoor, underground and visually degraded patrol routes.

Potential environments

  • Industrial facilities
  • Power plants and utility sites
  • Underground tunnels
  • Mines
  • Data centers
  • Parking garages
  • Airports and transport facilities
  • Critical infrastructure sites

Typical robot tasks

Typical missions include autonomous security patrols, infrastructure inspection, tunnel and mine inspection, anomaly checks, and emergency reconnaissance.

A six-step path from fit check to operational handover.

The exact outputs and support plan are defined in the integration scope.

  1. 01

    Integration review

    Review the vehicle envelope, mounting, power, compute, sensor inputs and navigation interface.

  2. 02

    Site suitability

    Assess magnetic feature richness, major ferromagnetic changes, routes and validation reference.

  3. 03

    Mount and calibrate

    Install the core unit and sensor bars, then perform platform-specific magnetic calibration.

  4. 04

    Build the map

    Collect synchronized field data and generate the first ambient magnetic field map.

  5. 05

    Integrate and validate

    Connect the localization output and test accuracy, frequency, confidence and failure cases.

  6. 06

    Operational handover

    Deliver the agreed map, configuration, operating procedure and support plan.

Turn Positioning Uncertainty into Confident Navigation.

Bring us the environments where localization loses certainty. Together, we’ll shape a practical MagLoc path from first evaluation to confident deployment.