A
Navigation & traffic
Routes, intersections, dynamic obstacles, docking and recovery behaviour.
Intralogistics & AMR integration
Automate one internal route with engineering evidence, not a robot catalogue.
We measure the current transport task, map the operating environment, define the interfaces and build a decision-ready case for AMR or mobile-robot automation.
Why this use case
Internal material movement can often be measured before it is automated.
Repeated trips create visible data: frequency, route length, cycle time, payload, waiting, handover, exceptions and labour exposure. That makes intralogistics a strong candidate for a disciplined first robotics project.
01
Measure today
Trips, minutes, load, stops, exceptions, labour and service level.
Output
A signed-off baseline and cost model.
02
Map constraints
Doors, lifts, traffic, slopes, floors, charging, Wi-Fi, safety and interfaces.
Output
Operating envelope and technical risk register.
03
Design the system
AMR/mobile platform requirements, navigation, sensing, compute, integration and human interaction.
Output
Platform-neutral architecture and interface map.
04
Define proof
Cycle time, mission completion, interventions, uptime, safety conditions and business metrics.
Output
Acceptance-tested pilot plan and go/no-go gate.
Typical integration surface
The mobile robot is only one component.
A production-relevant intralogistics application may require software, infrastructure and operational interfaces around the platform. We scope these before the pilot so the test reflects the real system.
B
Doors, lifts & access
Signals, access control, elevator calls and handover logic.
C
Software & APIs
Mission requests, fleet integration, status, alerts and interfaces to existing systems.
D
Sensing & edge systems
Additional sensing, machine vision, embedded interfaces and local compute where needed.
E
Safety & operating rules
Test zones, responsibilities, human interaction and site-specific risk controls.
F
Commissioning & transfer
Configuration, documentation, operator handover, acceptance evidence and support model.
Engineering principle
We do not force the workflow into a predetermined robot platform.
Platform choice follows measurable requirements such as payload, route, environment, interfaces, maintainability, service expectations and pilot acceptance criteria.
01
Baseline
Know today's cost and performance.
02
Requirements
Translate the workflow into engineering constraints.
03
Platform
Select or prototype against the requirements.
04
Pilot
Test the whole application, not a showroom demo.
05
Scale
Expand only when the measured result holds.
Start with one route
Tell us where material moves repeatedly today.
A useful first conversation needs the route, frequency, approximate cycle time, payload and what currently makes the task costly or unreliable.