{"id":29477,"date":"2026-10-12T13:27:55","date_gmt":"2026-10-12T11:27:55","guid":{"rendered":"https:\/\/www.ideativa.it\/?p=29477"},"modified":"2026-10-12T13:27:55","modified_gmt":"2026-10-12T11:27:55","slug":"digital-twin-robotics-simulation-production","status":"publish","type":"post","link":"https:\/\/www.ideativa.it\/en\/2026\/10\/12\/digital-twin-robotics-simulation-production\/","title":{"rendered":"Digital twin in robotics: from simulation to production"},"content":{"rendered":"

Before a robot actually enters production, a significant part of the work can take place in a virtual environment.<\/p>\n

Simulation makes it possible to design and verify a robotic solution before its physical implementation, addressing configurations, paths and system operation in advance.<\/p>\n

With a digital twin, however, the relationship between the virtual world and the production process becomes even more interesting.<\/p>\n

A digital twin creates a virtual representation of a robotic system that can support different stages of a project: from design and simulation to comparison with what actually happens on the production floor.<\/p>\n

What is a digital twin in robotics?<\/h2>\n

A digital twin is a virtual representation of a real system.<\/p>\n

In robotics, it allows teams to work on a robotic system digitally and verify its behaviour before commissioning.<\/p>\n

Simulation and offline programming software such as ABB RobotStudio\u00ae can be used, for example, to plan new robotic installations or adapt existing ones to new production tasks.<\/p>\n

According to ABB, RobotStudio provides a 99% match between the robot’s digital twin and its real-world implementation and can reduce design and commissioning times by up to 50%. These figures are reported by ABB for its own solution.<\/p>\n

The value of simulation therefore lies in the ability to bring forward some of the activities that would otherwise need to be carried out directly on the equipment.<\/p>\n

From simulation to the real production process<\/h2>\n

Simulation does not necessarily have to be separate from production.<\/p>\n

The transition can be understood as a sequence:<\/p>\n

design \u2192 simulate \u2192 validate \u2192 implement \u2192 monitor \u2192 improve<\/strong><\/p>\n

Before installation, the virtual model enables teams to work on the design and verify how it behaves.<\/p>\n

Once the system enters production, data collected from the equipment makes it possible to observe what happens during operation.<\/p>\n

Integrating these two levels makes the use of digital twins particularly valuable in robotics: the virtual and real worlds can become parts of the same design and improvement process.<\/p>\n

A real-world application in the biomedical sector<\/h2>\n

An example of this integration is a project developed by IDEATIVA in the Mirandola biomedical district for the assembly of components used in oncological infusion systems.<\/p>\n

The solution integrates:<\/p>\n