Robotization

Robotics

Connects the virtual and real world. Plan and optimize the placement of robots and other production line elements even before their physical implementation.

Virtual design and simulation of robotic workstations

It enables detailed planning and optimization of robot placement and other production line elements before physical implementation.
With advanced simulation tools, you can identify potential collisions in advance, optimize trajectories, and ensure maximum operational efficiency.

This process includes:

3D modeling of robotic cells and peripherals (CATIA) – Detailed models of robotic cells, conveyors, and tools
Placement of robots, tools, conveyors – Optimizing layouts for maximum efficiency
Ergonomic and safety analysis – Ensuring safety and smooth human–robot collaboration

Trajectory Simulation and Offline Robot Programming

It enables you to validate and optimize robot movements, minimize cycle times, and prevent inefficient trajectories. Offline programming eliminates the need for direct programming on the physical robot, reducing downtime and increasing productivity.

Technologies used:

Robot motion simulation in DELMIA – Realistic modeling of robot movements (ABB, FANUC, KUKA)
Verification of reach, collisions, and cycle times – Minimizing risks before physical deployment
Program export for real-world implementation – Seamless integration into production processes

Virtual Commissioning

It enables testing of robotic systems before their physical installation.

By connecting the simulation with control logic (e.g., PLC), all processes can be validated to ensure they run correctly and without unexpected issues.

Key benefits:

Scenario testing before deployment – Preventing errors in real operation
Time and cost savings during commissioning – Minimizing downtime

Digital Twin

Connecting the virtual and real worlds.
A dynamic model of the robotic cell enables online monitoring, performance optimization, and configuration/change management.

Features:

Creation of a dynamic model linked to real operations – Improved prediction and management
Online monitoring and performance optimization – Real data for more effective decision-making

Configuration and Change Management of Robotic Systems

Proper configuration and version management is essential for the seamless operation of robotic systems.

Key aspects:

Version and configuration control of models, trajectories, and programs – Transparency and full change management
Tracking changes in design, software, and integration – Minimizing errors during updates

Collaborative Development

Modern simulation platforms enable collaborative development, allowing design teams, programmers, and end customers to work together on a single project.