Automation is used across manufacturing, automotive production, food processing, pharmaceuticals, chemicals, electronics, energy, logistics, and other industrial environments. Modern systems can monitor production conditions, control machinery, collect operational data, and respond to defined process conditions.

Industrial automation combines mechanical equipment with technologies such as programmable logic controllers (PLCs), supervisory control and data acquisition (SCADA), distributed control systems (DCS), industrial robots, sensors, machine vision, and industrial networking.

Understanding these technologies helps engineers, manufacturers, technicians, and students understand how modern production environments operate.

Context

Industrial automation has developed from simple mechanical controls into interconnected digital production systems. Earlier automated equipment typically performed individual repetitive tasks, while modern automation systems can coordinate multiple machines and production processes.

Common automation technologies include:

• Programmable logic controllers

• Industrial robots

• Sensors and measurement systems

• Motor drives

• Human-machine interfaces

• SCADA platforms

• Distributed control systems

• Machine vision

• Industrial networking

• Industrial IoT devices

Common Industrial Automation Technologies

Industrial automation systems are often designed around the requirements of a specific production process. Equipment selection depends on production volume, operating conditions, safety requirements, integration needs, and the type of process being controlled.

Importance

Industrial automation plays an important role in modern manufacturing because production environments increasingly require consistent processes, accurate measurements, operational visibility, and efficient resource utilization.

Automation can help organizations:

• Improve process consistency

• Monitor equipment performance

• Reduce repetitive manual tasks

• Collect production data

• Improve quality monitoring

• Support predictive maintenance

• Improve workplace safety

• Coordinate complex production processes

• Increase manufacturing flexibility

Automation is particularly useful for repetitive, hazardous, or highly precise activities. Industrial robots, for example, are commonly used for material handling, welding, assembly, painting, and machine loading.

Industrial Robotics

Industrial robots are programmable machines designed to perform physical tasks through controlled movements. Common robot configurations include:

• Articulated robots

• SCARA robots

• Cartesian robots

• Delta robots

• Collaborative robots

• Autonomous mobile robots

Robot selection depends on factors such as payload, reach, speed, accuracy, workspace, tooling, and application requirements.

OSHA notes that industrial robots are commonly used for material handling, assembly, welding, machine loading and unloading, painting, and spraying. It also identifies programming, maintenance, testing, setup, and adjustment as situations where robot-related hazards can arise.

Process Control

Process control systems continuously monitor and regulate industrial variables such as:

• Temperature

• Pressure

• Flow

• Speed

• Level

• Voltage

• Position

• Chemical concentration

A basic process-control system can use sensors to measure a condition, a controller to compare the measurement with a defined target, and an actuator to adjust the process.

For example, a temperature-control system may monitor a production chamber and automatically adjust heating equipment to maintain a specified operating range.

PLC Systems

PLCs are specialized industrial computers designed to control machinery and automated processes.

A PLC typically receives information from sensors, executes programmed logic, and sends commands to connected equipment.

Common PLC applications include:

• Conveyor systems

• Packaging equipment

• Assembly machinery

• Pump controls

• Motor systems

• Material handling

• Automated production cells

PLCs are widely used because they can operate continuously in industrial environments and can be programmed for different control requirements.

Recent Updates

During 2025 and 2026, industrial automation has continued moving toward connected manufacturing, artificial intelligence, robotics, digital monitoring, and stronger cybersecurity practices.

Artificial Intelligence in Manufacturing

AI is increasingly being incorporated into industrial environments for applications such as:

• Predictive maintenance

• Visual inspection

• Production forecasting

• Anomaly detection

• Process optimization

• Equipment monitoring

• Quality analysis

AI can analyze large amounts of operational information and identify patterns that may be difficult to recognize through manual monitoring.

Smart Manufacturing

Smart manufacturing connects machines, sensors, software, and production data to provide greater visibility across manufacturing operations.

Industrial IoT technologies can collect information about:

• Equipment condition

• Production output

• Energy consumption

• Machine temperatures

• Operating cycles

• Maintenance requirements

This information can support data-driven manufacturing decisions.

Robotics Expansion

Manufacturers continue adopting robotics for repetitive and precision-oriented tasks. Collaborative robots are also being incorporated into selected production environments where people and robotic systems work in closer proximity under appropriate risk controls.

Manufacturing Cybersecurity

Greater connectivity also increases cybersecurity considerations. NIST's smart-manufacturing cybersecurity program focuses on protecting connected manufacturing systems, including industrial control systems, IIoT devices, and emerging technologies. NIST updated its smart-manufacturing cybersecurity project information in March 2025.

In May 2026, NIST released an initial public draft of SP 1800-41, addressing response and recovery from cyberattacks affecting manufacturing industrial control systems.

These developments demonstrate the growing relationship between manufacturing automation, operational technology, and cybersecurity.

Laws or Policies

Industrial automation in the United States is affected by workplace safety regulations, electrical requirements, machinery standards, cybersecurity considerations, environmental rules, and industry-specific requirements.

OSHA Requirements

OSHA requirements can apply to automated machinery and industrial robotics through standards covering machine guarding, hazardous energy, electrical safety, personal protective equipment, and other workplace hazards.

OSHA's machine-guarding requirements under 29 CFR 1910.212 require appropriate guarding methods to protect workers from hazards such as points of operation, rotating parts, flying chips, and sparks.

OSHA also states that there is currently no single OSHA standard specifically dedicated to the robotics industry. Instead, relevant requirements can include general industry rules such as machine guarding and lockout/tagout.

Lockout/Tagout

Maintenance and servicing of automated equipment can involve hazardous energy from electrical, mechanical, hydraulic, pneumatic, thermal, or other sources.

Lockout/tagout procedures are therefore an important part of machinery safety where applicable.

Industrial Control System Cybersecurity

Connected automation systems can create cybersecurity risks because industrial control systems increasingly interact with IT networks and remote-access technologies.

NIST provides guidance for industrial control system security, including recommendations concerning authentication, access control, network security, monitoring, and system integrity.

Industry Standards

Organizations may also use recognized technical standards and engineering frameworks covering:

• Industrial robot safety

• Machinery risk assessment

• Functional safety

• Industrial networking

• Control-system cybersecurity

• Electrical equipment

• Automation system design

Applicable requirements depend on the industry, equipment, facility, and jurisdiction.

Tools and Resources

Engineers and manufacturing teams use numerous tools to design, monitor, test, and maintain automation systems.

Useful resources include:

• PLC programming software

• HMI development platforms

• SCADA software

• CAD and engineering design software

• Digital-twin platforms

• Industrial network analyzers

• Machine-vision software

• Robot simulation software

• Predictive-maintenance platforms

• Industrial cybersecurity frameworks

• Automation documentation

• Equipment manuals

• Safety risk-assessment templates

Automation Planning Checklist

When evaluating an industrial automation project, organizations may review:

• Production requirements

• Machine compatibility

• Control architecture

• PLC requirements

• Sensor selection

• Robot specifications

• Network infrastructure

• Safety systems

• Cybersecurity

• Maintenance requirements

• Data collection

• Integration requirements

• Workforce training

A structured evaluation can help identify technical requirements before an automation system is implemented.

Industrial Automation Architecture

A typical automation environment may contain several layers:

The exact architecture varies according to the size and complexity of the manufacturing environment.

Frequently Asked Questions

What is industrial automation?

Industrial automation uses control systems, software, sensors, robotics, and specialized equipment to operate industrial processes with reduced manual intervention.

What is a PLC used for?

A programmable logic controller receives signals from connected equipment, processes programmed logic, and controls machinery or industrial processes.

What is the difference between SCADA and PLC?

A PLC generally performs real-time machine or process control, while SCADA systems provide supervisory monitoring, visualization, data collection, and control functions across larger industrial environments.

How are robots used in manufacturing?

Industrial robots can perform tasks such as welding, assembly, material handling, painting, packaging, machine loading, and inspection.

Is industrial automation safe?

Automation can improve safety when properly designed and implemented, but automated machinery can also create hazards. Appropriate machine guarding, risk assessment, training, maintenance procedures, and hazardous-energy controls are important components of a safe industrial environment.

Conclusion

Industrial automation has become an important part of modern manufacturing by combining robotics systems, PLC controls, process automation, industrial IoT, machine vision, SCADA, and digital manufacturing technologies.

During 2025 and 2026, developments in artificial intelligence, smart manufacturing, robotics, connected equipment, and industrial cybersecurity have continued expanding the capabilities of automated production environments. NIST's recent work on manufacturing cybersecurity also highlights the importance of protecting increasingly connected industrial control systems.

Understanding industrial automation systems, robotics automation, process control, PLC programming, SCADA systems, industrial IoT, machine safety, and manufacturing technology provides a useful foundation for engineers, technicians, students, and manufacturing professionals. Because safety requirements and technical standards can vary by facility and application, organizations should verify applicable OSHA requirements, industry standards, equipment documentation, and local regulations before implementing or modifying automated systems.