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Autonomous Robotics
Intralogistics
AMR
ROS
Workflow Automation

Autonomous Material Movement in Manufacturing

Manufacturing & Intralogistics Enterprise

How a manufacturing facility automated internal material transport using Collaborative Robotics' Proxie platform, replacing repetitive cart pushing with intelligent, event-driven intralogistics.

Tech Stack

Collaborative Robotics (Proxie)ROSPythonAMR Fleet ManagementREST APIsEvent-Driven Architecture

Process Visualization

Process Visualization

The Challenge

Employees in a large manufacturing facility spent significant operational hours manually pushing carts of materials, parts, work-in-progress inventory, and empty containers across long distances. This created manpower dependencies, inconsistent station supply times, and production line starvation without altering physical facility infrastructure.

Production workers spending hours walking across facilities to transport carts instead of focusing on manufacturing tasks
Internal material delivery times dependent on manual runner availability and shift schedules
Frequent line starvation as production stations waited for raw materials or container returns
Inability to install fixed conveyor networks due to dynamic facility layouts and changing routing requirements

The Solution

We deployed Collaborative Robotics' Proxie AMR platform to handle repetitive material transport routes autonomously. Integrated into the facility event stream, the robots respond dynamically to station replenishment requests and material readiness signals.

Autonomous mobile robot navigation designed to operate safely alongside human workforce
Event-driven transport orchestration triggered by station status and cart readiness
Dynamic obstacle avoidance and route optimization without facility layout modifications
Centralized fleet monitoring layer providing real-time mission visibility and route utilization analytics

Implementation

1

Facility material-flow mapping and high-frequency route identification

2

Proxie platform evaluation for navigation, safety, and cart compatibility

3

Scoped pilot deployment across selected high-volume material routes

4

Event-based workflow software integration for automated pickup and delivery signals

5

Fleet status dashboard configuration, operational validation, and L1/L2 support transition

Impact & Results

Operational Impact

  • Transferred repetitive cart transportation from human workers to autonomous mobile robots
  • 100% offline edge navigation stability preventing network-induced delivery stalls
  • Established structured, predictable material delivery schedules across production stations

Business Impact

  • Substantially increased workforce productivity by refocusing staff on high-value manufacturing
  • Reduced internal logistics sensitivity to staffing shortages and shift changeover gaps
  • Eliminated major capital expense by operating within existing facility infrastructure

Strategic Impact

  • Created a scalable intralogistics automation blueprint for incremental route expansion
  • Generated actionable operational analytics on material movement bottlenecks and station cycle times
  • Improved facility ergonomics by reducing repetitive long-distance cart pushing

Next

CNC Machine Tending & Automated Part Handling

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