Industrial Automation Systems
We integrate control architecture, sensors, drives and field equipment into reliable systems for manufacturing, assembly, material flow and industrial processes.
INDUSTRIAL AUTOMATION ENGINEERING
Industrial automation and robotic systems.
ARVIONIQ engineers automation and robotic systems around real production requirements, connecting control software, electrical infrastructure, machine vision and manufacturing data in one dependable solution.
CONTROLPLC · HMI · SCADA
MOTIONRobot · Servo · Motion
VISIONCamera · AI · Quality
DATAMonitoring · Reporting · MES
01 — AUTOMATION & ROBOTICS
Integrated systems designed around production.
Industrial automation is more than an isolated PLC program or a single machine. A dependable system requires process analysis, control architecture, electrical design, field devices, functional safety, operator experience and manufacturing data to work together.
ARVIONIQ develops application-specific engineering for new production lines, machine modernization and multi-equipment integration. The objective is a system that runs reliably, remains understandable to maintain and can evolve with future production needs.
02 — SOLUTION AREAS
The essential layers of industrial automation.
Every production environment is different. Hardware and software are selected around the process, performance target and operating conditions—not around a generic package.
Robotic System Integration
We program and integrate industrial robot cells for machine tending, palletizing, handling, assembly and related production tasks, including safety and peripheral equipment.
PLC, HMI and SCADA Software
We develop maintainable PLC software and operator-focused HMI and monitoring interfaces tailored to the real behavior of the machine or process.
Machine Vision & Quality Control
We deploy camera and AI-assisted vision systems for inspection, measurement, classification, defect detection and production traceability.
Electrical & Safety Systems
Control panels, field wiring, motors, drives and machine-safety components are engineered around standards and the application's operating requirements.
Industrial Software & Data Integration
We connect PLCs, machines, databases and higher-level systems to enable production monitoring, reporting and traceability.
03 — ENGINEERING APPROACH
One path from requirement to commissioning.
Process analysis
We define the production steps, bottlenecks, cycle time, quality targets and safety requirements.
System design
Control, electrical, robotics, vision and software architecture are planned around the real operating environment.
Integration and testing
We bring the components together and validate signals, operating scenarios, fault handling and safety functions.
Commissioning and support
The system is commissioned on site, the operating team is informed and technical support is provided for sustainable operation.
04 — APPLICATION EXAMPLES
See automation and robotics in motion.
Explore representative applications for robotic palletizing, CNC machine tending, vision sorting, AI quality control and connected manufacturing data.
05 — COMMON QUESTIONS
Where should an automation project begin?
What does an industrial automation system include?
Depending on the application, one system may combine PLC, HMI or SCADA, sensors, drives, motors, robots, safety equipment, electrical panels and manufacturing-data software.
Can an existing machine or line be modernized?
Yes. Existing control hardware, PLC and HMI software, drives, safety infrastructure and data connections can be assessed to create an application-specific modernization plan.
Where are robotic systems typically used?
Robotic systems support palletizing, packing, machine tending, material handling, assembly, welding, inspection and other repetitive production tasks. Suitability depends on the product, cycle time, reach and safety analysis.
What information is needed for an initial project review?
Product and process information, target cycle time, the current machine or line arrangement, layout constraints and expected quality criteria provide a practical starting point for technical evaluation.