IMA sta caricando

AI4WORK

Human-Centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions

In a rapidly evolving technological landscape, the collaboration between humans and machines poses a pressing challenge to the modern workforce. As artificial intelligence (AI) and robotics become integral to various industries, striking the right balance between human ingenuity and machine efficiency remains elusive. The need for optimal work-sharing methods becomes paramount, spanning from manual labour to intricate decision-making processes.


In this context, the EU-funded AI4Work project aims to explore and implement practical solutions for the seamless collaboration between humans and AI/robots. The key challenge lies in developing versatile tools like the sliding work sharing (SWS) approach, adapting the balance between human and machine activities based on situational context and interactions.

  • 18 Partners
  • 4 Years (2023 – 2026)

 

explore Find out more

Goals

The vision of the AI4Work project is to improve communication and collaboration between humans, AI and robots, allowing for an improvement of the working conditions within different processes in organisations in several domains in terms of increased efficiency of work, reduction in stress upon employees, increased confidence in decision-making process etc.

AI4Work will investigate practical methods and tools for optimal sharing of work between humans and AI/robots. AI and robotics are likely to be most powerful means for radical improvement of working conditions in diverse domains, as they can support human operators in diverse tasks starting from difficult and tedious manual labor tasks up to complex decision-making tasks. The vision of the AI4Work project is to improve communication and collaboration between humans, AI and robots, allowing for an improvement of the working conditions within different processes in organisations in several domains in terms of increased efficiency of work, reduction in stress upon employees, increased confidence in decision-making process etc. The project will be driven by six pilots in different sectors: logistics, manufacturing industry, construction, healthcare, education and agriculture.

IMA Role: AI in Automation Packaging System

IMA will deploy the AI4Work framework to develop an AI-Powered machine operator assistant, capable of filling the knowledge gaps among operators and between operators and different machines. The digital assistant will be aimed to support machine attendants in their maintenance and troubleshooting operations, increasing productivity and job quality in packaging and processing lines. The IMA solution will be integrated in the company’s portfolio of automated packaging solutions for the food and pharma industry and will be further developed in ordered to be offered to major drugs and food producers, which are already part of the IMA customer base.

Read the News

28/05/2024 – IMA Group is enhancing its initiatives in innovation and technologies with a leading role in seven new projects under the Next Generation EU programme, three of which are coordinated by BI-REX

IMA is accelerating its commitment to research and innovation with direct participation in seven innovative projects funded through the EU’s National Recovery and Resilience Plan within the context of the Next Generation EU programme, and the European Union’s Horizon Europe Framework Programme for Research and Innovation. These projects, three of which are co-funded through BI-REX, aim to promote sustainability, digitalization, and the automation of industrial processes in collaboration with other partners. BI-REX is one of the eight national Competence Centers established by the Ministry of Economic Development and Made in Italy (formerly MISE) as part of the Industry 4.0 plan, representing a consortium that includes 61 universities, research centres, and leading companies focused on digital transformation and technological innovation. In these projects, IMA will utilize its expertise and knowledge by working alongside various strategic partners…

This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101135990.