Autonomous Material Handling & AMR Logistics

In warehouses and manufacturing facilities, delivering raw materials, work-in-progress, totes, and cases to designated points on time is essential for operational continuity. Relying on manual forklifts and pallet jacks often leads to internal traffic congestion, idle waiting times, and repetitive transport tasks, which can negatively impact workforce efficiency and create operational bottlenecks.

An Autonomous Mobile Robot (AMR) fleet comprising GO Mini, CarrGO-i, and CarrGO Max platforms autonomously executes material handling tasks between distribution hubs, assembly lines, packaging areas, and shipping docks. The MWS Orchestration Platform dispatches operational tasks directly to field systems and centrally manages real-time vehicle statuses.

Continuous Material Flow: Automating repetitive intra-facility transport tasks minimizes buffer idle times and eliminates manual handoffs.

Dynamic Routing & Traffic Control: Fleet management software dynamically routes vehicles based on floor traffic density and real-time task priorities.

System Integration: Continuous synchronization with WMS and ERP platforms updates material calls, transport tasks, and stock movements in real time.

Safe Human-Robot Collaboration: Multi-sensor safety suites including LiDAR and vision cameras ensure controlled, safe vehicle navigation within shared pedestrian and machinery environments.

Conveyorless & Infrastructure-Free Architecture: As facility layouts change, transport paths and routes are reconfigured directly via software without physical line installations.

24/7 Continuous Operation:

Intelligent battery management systems optimize opportunity charging between shifts to maintain non-stop operational availability.

Intra-Facility Traffic Management:

Smart fleet control software prevents vehicle deadlocks and bottlenecking at intersections and narrow aisles through dynamic path planning.

Zero-Accident Safety Standard:

360-degree safety sensor fields combined with physical emergency stop infrastructures ensure strict compliance with occupational safety standards.

Flexible Infrastructure Adaptation:

Infrastructure-light navigation technology operates without magnetic tapes, physical floor markers, or reflector grids, adapting instantly to layout modifications.

Technologies

By integrating autonomous robots, AI-powered technologies, and centralized orchestration software (MWS), we enable efficient, traceable, and streamlined management of goods receiving, order picking, sorting, verification, and material handling processes on a unified platform.

Miggra Warehouse System (MWS)

A multi-tenant warehouse management and control system integrated via lightweight API endpoints.

Push/pull order data to and from primary enterprise systems (ERP, OMS).
Real-time data logging and alarm tracking.
Role-based dashboards and detailed reporting for defined KPIs.
Track inventory movements with automated alerts for cycle counts and stockouts.
Multi-tiered access control and permission management for operators, managers, and IT personnel.

Detailed Information

CarrGO Management Software (CMS)

Robot fleet and traffic management.
Warehouse control and execution system (WCS/WES).
Real-time system monitoring.
Integrated Pick-to-Light system (P2L 2.0) management.

Detailed Information

P2L 2.0
(Next-Generation Pick-to-Light)

Our specialized Pick-to-Light system designed explicitly for light-guided order picking applications. Smart LED strips mount directly to rack shelf profiles and are managed by the control software layer.

Up to 50% improvement in order picking times.
Significant reduction in operator reaction time and increase in pick accuracy.
Flexible, software-defined location mapping.
Native integration within TARO MFC and RINGS MFC systems.

Detailed Information

Miggra Mobile Picker (MMP)

Miggra Mobile Picker is an enterprise-grade industrial software application enabling mobile order picking, location mapping, inventory cycle counting, and stock management.

Mobile-first UI/UX design.
Native Android compatibility.
Intuitive operator workflows.
Industrial-grade operational reliability.

Detailed Information

CarrGO MAX

CarrGO MAX is a high-capacity platform designed for transporting heavy and oversized loads within industrial facilities.

Heavy-load transportation capability.
Protected body design suitable for industrial environments.
Planned charging management with an automatic charging station.

Detailed Information

CarrGO MAX Heavy Load Order Picking Robot

GO Mini

GO Mini is a compact autonomous mobile robot (AMR) designed for transporting lightweight and medium-weight boxes, containers, and small packages between stations, as well as order picking operations.

Fast deployment with natural navigation technology without requiring infrastructure changes.
Dynamic route planning and intelligent fleet traffic management.
Controlled station docking with precise positioning.

Detailed Information

CarrGO-i

CarrGO-i (Industrial) is an autonomous mobile robot designed to improve order picking speed and accuracy in industrial environments while significantly increasing operational efficiency.

Up to 5x increase in productivity.
99.9% accuracy.
P2L 2.0: Light-guided order picking.
Optional Virtual Positioning System (VPS) providing indoor localization accuracy within ±10 cm.
Embedded touchscreen PC and optional barcode scanner.
Navigation, route optimization, and obstacle avoidance.
Advanced suspension system adapted to uneven industrial floors.
Sensor and emergency stop infrastructure supporting occupational safety requirements.
Operating temperature: 0 °C – 45 °C.

Detailed Information

Manage Your Warehouse and Internal Logistics Processes in a Single Workflow

Streamline Your Warehouse and Intra-Logistics Workflows into a Unified System

Integrate autonomous mobile robots, pick-to-light systems, and verification stations directly with your existing ERP and WMS infrastructure. Let’s engineer a tailored solution architecture for your facility to identify bottlenecks, optimize throughput, and evaluate ROI.