Autonomous mobile robots transporting pallets in a warehouse.

B · MOBILITY

AMR & AGV Mobility

Orchestrate heterogeneous fleets, traffic, charging, WMS/MES interfaces and site safety.

01

PROBLEM

Factory challenge

Fleet control, traffic, charging, legacy AGVs and WMS/MES integration are rebuilt for every project.

02

APPROACH

OPTO approach

Use FleetOS, standard move platforms, retrofit and digital verification with an operating SLA.

PERFORMANCE · target metrics

±10mm Docking precision Vision · SLAM
99.5% Autonomy uptime Fleet operation
1.5t Max payload Heavy-load platform
30% Logistics efficiency Path · traffic optimization

※ Figures are planning assumptions, agreed per sample and site conditions via PoC gates.

Perception Pipeline

From perception to fleet control — vision-based autonomy

LiDAR and stereo vision perceive the environment; dynamic mapping, planning, control and fleet orchestration run whole-line logistics.

  1. 01 · PERCEIVE

    Perceive (Vision · LiDAR)

    Stereo vision, LiDAR and IMU fuse to recognize obstacles, people and terrain.

  2. 02 · MAP

    Dynamic map (SLAM)

    V-SLAM maps the changing floor in real time.

  3. 03 · PLAN

    Plan · traffic

    Plan optimal paths considering traffic, charging and task priority.

  4. 04 · ACT

    Motion control

    Deterministic motion including safe stop and avoidance.

  5. 05 · ORCHESTRATE

    Fleet control

    FleetOS orchestrates heterogeneous fleets and links WMS/MES.

SOLUTIONS

Representative solutions

Visible and standardized multi-vendor robot operations

Multiple autonomous mobile robots moving pallets in a logistics center
MobilityP0 · concept validation

FleetOS

Multi-vendor fleet orchestration and traffic management

Coordinates heterogeneous mobile robots, traffic, charging and plant missions while preserving safety interfaces and operational ownership.

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A mobile robot fitted with industrial controllers and sensors
MobilityP0 · concept validation

AGV2AMR Retrofit

Staged modernization of legacy AGVs

Evaluates the existing vehicle and safety architecture before adding localization, mission and fleet capabilities in controlled phases.

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A low-profile autonomous mobile robot transporting a pallet
MobilityP0 · concept validation

OmniMove 600

Concept for a standardized 600 kg-class AMR platform

A configurable mobile platform concept with selectable top modules and safety architecture. Final specifications are confirmed only after project validation.

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Why our Perception

Vision-based autonomous perception

Beyond fixed-path AGVs, we provide autonomy that understands dynamic environments with vision and deep learning. Safe perception is key where robots work alongside people.

  • Stereo & DL obstacle/human perception
  • Dynamic-environment V-SLAM mapping
  • Continuous improvement from fleet data
  • Safety validation (SAT) by contract

Perception & Fleet Stack

Perception & fleet stack

Sensors
LiDARStereo visionIMU · encodersSafety scanners
Perception · AI
V-SLAMDL obstacle recognitionHuman detection · trackingSemantic mapping
Fleet
Traffic optimizationCharge schedulingTask allocationDigital-twin sim
Integration
WMS · MESOPC-UAElevator · door I/OSafety PLC

PROOF & DELIVERABLES

Verification deliverables that remain

Acceptance is based on the documents, data and procedures needed for approval and operation.

  1. 01Route and traffic simulation
  2. 02Safety requirement definition
  3. 03FAT/SAT scenarios
  4. 04Map and mission standard
  5. 05Operations and maintenance plan

INTEGRATION

Integration scope

  • V-SLAM, QR and magnetic guidance
  • WMS and MES
  • Automatic doors and elevators
  • Chargers and fire-safety systems
  • Fleet APIs

INDUSTRIES

Priority industries

MOBILITY

Design a verification path for your site

Specifications and performance are agreed through sample and site-specific PoC gates.

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