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CollaborICE

PROJECT

CollaborICE

A platform for modeling, managing, and maintaining collaborative manufacturing systems
PROJECT LEAD

Michele Lora - Università degli Studi di Verona – Ricercatore Tenure Track

CONCEPT

CollaborICE aims to develop a platform for modeling, data collection, management, and maintenance of collaborative manufacturing systems. The platform will be open and extensible, allowing for the integration of new technologies.

MICS partners will be able to use the platform to test the technologies developed through their research.

The project will create a hardware/software infrastructure that integrates, within the traditional automation pyramid:

  • modeling techniques for collaborative manufacturing tasks,
  • production scheduling that considers uncertainties introduced by human workers,
  • a digital twin capable of simulating human behavior,
  • and anomaly detection systems to ensure the safety of both the system and human operators.
CONTEXT

In Industry 5.0, human operators interact directly with autonomous robotic systems to complete manufacturing tasks. This requires systems that can understand and monitor the behavior of both humans and machines.

CollaborICE builds on the foundation of the Industrial Computer Engineering (ICE) Laboratory at the University of Verona. This lab features a technology demonstrator equipped with an autonomous production line capable of dynamically implementing heterogeneous production recipes. All system devices are connected to a data collection platform and a digital twin able to monitor production and the presence of human operators.

Beneficiari

OBJECTIVES AND EXPECTED RESULTS

CollaborICE aims to develop models that accurately describe the actions of both human and robotic agents, integrating real-time data collection and analysis to detect and interpret activities in the factory. Since human actions can influence data collected from autonomous systems—through accidental contact or maintenance tasks—the system must also be able to detect anomalies resulting from such interactions.

To achieve its mission, CollaborICE defines three key research goals:

  1. Develop models describing human behavior and human-machine interaction in manufacturing contexts, integrated with state-of-the-art production system modeling techniques.
  2. Define algorithms for collecting data on human behavior and integrate it with machine-generated data to recognize operator actions in real time.
  3. Develop data-driven algorithms for planning and scheduling collaborative manufacturing tasks and for real-time anomaly detection and management.

KEY FIGURES

11

RESEARCHERS INVOLVED

10900

RESEARCH HOURS

5

NEW HIRES EXPECTED

12

PROJECT DURATION

2

STARTING TRL

4

FINAL TRL

Contact us

Project n.: PE_00000004
MADE IN ITALY CIRCOLARE E SOSTENIBILE
Tax Code. 97931690156

Contact

Registered headquarters Piazza Leonardo da Vinci, 32, 20133 Milano
Operative headquarters Via Copernico, 38, 20125 Milano | Edificio C – Piano 1
Southern office Corso Nicolangelo Protopisani, 70, 80146 Napoli | Laboratorio Ricreami CESMA – Università degli Studi di Napoli Federico II