-
- English
- Italiano
You're using Internet explorer as browser: to enjoy the most complete expierence on our website, we recommend using a newer browser, such as Firefox, Chrome or Safari.
PURPOSE
The A.R.T.O. project focuses on optimizing the integration testing of complex systems, particularly within the aerospace industry, by leveraging robotics and artificial intelligence (AI).
In response to challenges like increased competition, system complexity, and the need for faster market delivery, A.R.T.O. automates repetitive, low-value tasks traditionally carried out by engineers, allowing them to focus on higher-value activities. This results in reduced human error and increased testing efficiency.
A.R.T.O. operates 24/7, improving asset utilization and overall testing processes. The system integrates collaborative robotics with AI-driven computer vision to ensure high-quality testing and greater efficiency in safety-critical environments, such as aircraft and helicopter cockpits.
PURPOSE
The A.R.T.O. project focuses on optimizing the integration testing of complex systems, particularly within the aerospace industry, by leveraging robotics and artificial intelligence (AI).
In response to challenges like increased competition, system complexity, and the need for faster market delivery, A.R.T.O. automates repetitive, low-value tasks traditionally carried out by engineers, allowing them to focus on higher-value activities. This results in reduced human error and increased testing efficiency.
A.R.T.O. operates 24/7, improving asset utilization and overall testing processes. The system integrates collaborative robotics with AI-driven computer vision to ensure high-quality testing and greater efficiency in safety-critical environments, such as aircraft and helicopter cockpits.
PROJECT AT A GLANCE
A.R.T.O. is funded by the MIMIT (Italian Ministry of Innovation’s research and development) and aims to develop a comprehensive system that integrates AI-based computer vision, collaborative robotics, and autonomous systems to optimize testing processes. A.R.T.O. will automate the verification and validation of complex systems, particularly focusing on aerospace systems such as aircraft and helicopter cockpits.
Key activities include creating a digital twin for testing, developing AI algorithms for system analysis, and building a robotic arm for hands-on testing. The system will also feature real-time monitoring and result collection, providing engineers with enhanced control and flexibility.
Through its modular and scalable design, A.R.T.O. will help improve the overall quality and safety of aerospace systems while reducing operational costs and testing time.
PROJECT AT A GLANCE
A.R.T.O. is funded by the MIMIT (Italian Ministry of Innovation’s research and development) and aims to develop a comprehensive system that integrates AI-based computer vision, collaborative robotics, and autonomous systems to optimize testing processes. A.R.T.O. will automate the verification and validation of complex systems, particularly focusing on aerospace systems such as aircraft and helicopter cockpits.
Key activities include creating a digital twin for testing, developing AI algorithms for system analysis, and building a robotic arm for hands-on testing. The system will also feature real-time monitoring and result collection, providing engineers with enhanced control and flexibility.
Through its modular and scalable design, A.R.T.O. will help improve the overall quality and safety of aerospace systems while reducing operational costs and testing time.
OBJECTIVES
GLI OBIETTIVI
Key features of A.R.T.O. include:
Key features of A.R.T.O. include:
AI-driven Computer Vision:
Automates the detection and verification of cockpit elements, such as buttons, switches, and displays, overcoming challenges posed by dynamic environments.
Robotic Arm Integration:
Facilitates physical interaction with cockpit elements, performing repetitive test tasks autonomously to reduce operator workload and minimize human error.
Seamless Lab Integration:
Easily integrates into existing test laboratories, enhancing operational flexibility and adaptability across different test setups.
AI-driven Computer Vision:
Automates the detection and verification of cockpit elements, such as buttons, switches, and displays, overcoming challenges posed by dynamic environments.
Robotic Arm Integration:
Facilitates physical interaction with cockpit elements, performing repetitive test tasks autonomously to reduce operator workload and minimize human error.
Seamless Lab Integration:
Easily integrates into existing test laboratories, enhancing operational flexibility and adaptability across different test setups.
Digital Twin Technology:
A synthetic environment that allows safe testing and procedure training before real-world implementation, reducing risks and optimizing test cycles.
User-Friendly Interface:
A graphical interface that allows real-time monitoring, setup configuration, and result collection, all without requiring advanced programming knowledge. The final objective of the A.R.T.O. project is the development of a fully integrated prototype that will automate integration testing for complex aerospace systems. Until the 30th month, the development of the four sub-modules will be carried out individually with some integration tests. In the last six months the effort will be completely focused on integration and validation.
Digital Twin Technology:
A synthetic environment that allows safe testing and procedure training before real-world implementation, reducing risks and optimizing test cycles.
User-Friendly Interface:
A graphical interface that allows real-time monitoring, setup configuration, and result collection, all without requiring advanced programming knowledge. The final objective of the A.R.T.O. project is the development of a fully integrated prototype that will automate integration testing for complex aerospace systems. Until the 30th month, the development of the four sub-modules will be carried out individually with some integration tests. In the last six months the effort will be completely focused on integration and validation.
TXT ROLE
TXT e-Tech leads the development of the A.R.T.O. system and its the sole responsable of all project experimental development's work packages. The company is responsible for designing the digital twin, AI algorithms for computer vision, and the robotic arm integration.
TXT also manages the overall software architecture, ensuring that A.R.T.O. seamlessly integrates into existing lab infrastructures while providing robust solutions for system control and monitoing. TXT relies on the Politecnico di Milano for the industrial research work package.
TXT ROLE
TXT e-Tech leads the development of the A.R.T.O. system and its the sole responsable of all project experimental development's work packages. The company is responsible for designing the digital twin, AI algorithms for computer vision, and the robotic arm integration.
TXT also manages the overall software architecture, ensuring that A.R.T.O. seamlessly integrates into existing lab infrastructures while providing robust solutions for system control and monitoing. TXT relies on the Politecnico di Milano for the industrial research work package.
PARTNER
IL PARTNER
PROJECT KEY INFORMATION
Project number: F/350238/01-03/X60
Funfing entity: Ministry of Enterprise and Made in Italy
Project duration: 3 years
Start date: 2 January 2023
End date: 31 December 2026
Project budget: €4.366.081,25 (of which €1.300.824,38 in the form of a MIMIT - PNRR ministerial contribution)
PROJECT KEY INFORMATION
Project number: F/350238/01-03/X60
Funfing entity: Ministry of Enterprise and Made in Italy
Project duration: 3 years
Start date: 2 January 2023
End date: 31 December 2026
Project budget: €4.366.081,25 (of which €1.300.824,38 in the form of a MIMIT - PNRR ministerial contribution)
Contact us for more information
Contact us for more information