Тематическое исследование · AerospaceАнонимность по запросу. Названы ссылки по NDA.
Manufacturing · Robotics

From managing robots to optimising an intelligent fleet.

A manufacturer running AMRs and AGVs had limited visibility into route congestion, charging downtime, idle fleet utilisation and cross-zone movement inefficiencies.

Manufacturing · RoboticsAMR / AGV fleet intelligenceHybrid RTLS / RFID + analytics · measured outcomes.live asset positionHigherAMR/AGV utilisationнижеidle charging time
Вызов

С чем они столкнулись.

Route congestion

Robotic traffic created congestion hotspots across zones.

Idle & charging downtime

Fleet utilisation and charging were unmanaged.

No fleet-level view

Robots were managed as individual machines, not a fleet.

Наш подход

Нейтральный продавец, результат.

UWB for real-time robotic positioning, BLE for asset-interaction tracking, AGV/AMR telemetry for route analytics, and AI orchestration for congestion, idle-time and predictive movement optimisation.

Как мы решили

Что мы доставили.

  • UWB RTLS real-time robotic positioning
  • BLE asset-interaction tracking
  • AGV/AMR telemetry route analytics
  • AI fleet orchestration — congestion, idle, predictive optimisation
Результаты

Результат, который увидела комиссия.

Higher
AMR/AGV utilisation
ниже
idle charging time
безопаснее
robotic traffic
Higher
throughput
“We stopped managing robots as individual machines and started optimising them as an intelligent fleet.”

— Director of operations, industrial manufacturing (client anonymised)

Используемая технология

Стек за ним

UWBBLEAGV/AMR telemetryAI orchestration
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