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Collaborative Robotics
CNC Machine Tending
Computer Vision
ROS
Industrial Automation

CNC Machine Tending & Automated Part Handling

Industrial Components Manufacturer

How an industrial components manufacturer automated raw material loading, finished part handling, and quality verification using Standard Bots RO1 cobots and ROS-based orchestration.

Tech Stack

Standard Bots (RO1)ROSComputer VisionPythonPLC InterfaceSensors & End-Effectors

Process Visualization

Process Visualization

The Challenge

A precision components facility relied on skilled operators to manually load raw parts into CNC machines, initiate machining cycles, and unload finished parts. Operator availability during shift changes, breaks, and labor shortages led to machine idle time and reduced output across expensive CNC equipment.

High-value skilled operators spending hours on repetitive, manual component loading and unloading
CNC machine utilization tied directly to continuous operator presence at the cell
Production bottlenecks during shift changeovers, breaks, and manpower shortages
Need to handle multiple SKU component variants without building rigid, single-part automation cells

The Solution

We engineered a flexible robotic tending cell utilizing the Standard Bots RO1 cobot, integrated vision systems, and ROS-based orchestration. The system autonomously manages the full sequence from component identification to CNC loading and unloading.

Standard Bots RO1 robotic arm for precise component pickup, loading, and placement
Computer vision and sensor integration verifying part availability, orientation, and grip integrity
ROS-based control logic managing state synchronization, machine signals, and safety protocols
Flexible cell architecture supporting multi-SKU component variants with rapid changeover

Implementation

1

Workflow assessment analyzing machine cycle times, payloads, and cell footprint

2

Standard Bots RO1 platform evaluation and proof of concept validation

3

Robotic cell design and custom end-effector selection for multi-part handling

4

Vision system, sensor feedback, and ROS orchestration software development

5

Controlled pilot validation, fail-safe exception logic testing, and operator training

Impact & Results

Operational Impact

  • Achieved consistent machine cycle times independent of operator presence
  • Integrated automatic sensor verification for component availability and grip safety
  • Zero damage to precision components through repeatable robotic handling

Business Impact

  • Significantly increased CNC machine utilization and overall output capacity
  • Reallocated skilled machinists to setup, quality inspection, and process optimization
  • Eliminated production downtime caused by operator shift gaps and breaks

Strategic Impact

  • Established an agile collaborative robotics model scalable to additional CNC cells
  • Avoided costly custom traditional automation by leveraging flexible cobot architecture
  • Enhanced workplace ergonomics and safety by eliminating heavy repetitive handling

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