AMATA “Natural Programming of Flexible Automation in Advanced Logistics”

 

Progetto AMATA

Programmazione Naturale di Automazione Flessibile nella Logistica Avanzata

Progetto vincitore di bando di finanziamento PNRR Missione 4 “Istruzione e ricerca” – Componente 2 “Dalla ricerca all’impresa” – Investimento 2.3 “Potenziamento ed estensione tematica e territoriale dei centri di trasferimento tecnologico per segmenti di industria”, di competenza del Ministero delle Imprese e del Made in Italy (il “MIMIT”), gestito dal competence center: BI-REX – Big Data Innovation & Research Excellence.

AMATA project
Natural Programming of Flexible Automation in Advanced Logistics
Project awarded under the PNRR funding call – Mission 4 “Education and Research” – Component 2 “From Research to Business” – Investment 2.3 “Strengthening and Thematic and Territorial Expansion of Technology Transfer Centers for Industry Segments”, under the responsibility of the Italian Ministry of Enterprises and Made in Italy (MIMIT), managed by the Competence Center BI-REX – Big Data Innovation & Research Excellence.

 

This project is funded by the European Union under the National Recovery and Resilience Plan (PNRR) – NextGenerationEU.

 

1 Project Overview

AMATA is an industrial research and innovation project in the field of collaborative robotics for advanced logistics automation.

The project aims to develop and validate, in an industrially relevant environment (TRL 6), an innovative off-line robot programming system based on natural human motion capture. The system enables flexible automation of high-variability logistics processes, particularly in packaging and picking operations.

The project is carried out within the framework of the Italian National Recovery and Resilience Plan (PNRR).

 

2 Project Objectives

The main objectives of AMATA are:

  • Development of an intuitive off-line robot programming methodology based on motion tracking technology (Xsens).
  • Automatic translation of manually performed human tasks into executable robot programs.
  • Design and development of an adaptive gripping system capable of handling heterogeneous and irregular products.
  • Validation of the integrated robotic cell in an industrial environment.
  • Achievement of Technology Readiness Level (TRL) 6.

The solution is designed to enable efficient automation in contexts characterized by high variability of products and workflows.

 

3 Role of Flexstructures Italia

Flexstructures Italia S.r.l. plays a key technical role in the AMATA project.

Its main responsibilities include:

  • Integration of the Xsens motion capture system into the AMATA infrastructure.
  • Development and validation of digital simulation environments using IPS Suite tools.
  • Application of Digital Human Modeling (DHM) technologies.
  • Support in the creation of a Digital Twin for validation and optimization of robotic workflows.
  • Technical contribution to the digital validation of ergonomics, reachability, and process feasibility.

Flexstructures leverages its expertise in industrial simulation and digital manufacturing to ensure robust and scalable automation solutions.

 

4 Expected Impact

The AMATA project is expected to generate:

  • Increased flexibility in logistics automation.
  • Improved ergonomics and working conditions.
  • Higher productivity and operational efficiency.
  • Reduced dependency on specialized robot programming skills.
  • Scalable automation models for high-variability industrial environments.

The industrial adoption roadmap foresees further engineering and scaling phases beyond TRL 6 validation

 

5 Project Duration

Project duration: 12 months
Current status: Ongoing
Official project period: start 05/05/2025 – end 30/04/2026

 

6 Funding Information

This project is funded by the European Union under the National Recovery and Resilience Plan (PNRR) – NextGenerationEU.

 

7 Disclaimer

The views and opinions expressed are those of the authors and do not necessarily reflect those of the European Union or the Italian Government. Neither the European Union nor the granting authority can be held responsible for them.

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