HARTU Handling with AI-enhanced Robotic Technologies for flexible manufactUring

Summary

The HARTU project will provide components for automatic planning and control of grasping, release and contact assembly tasks, proposing innovative gripping concepts based on electroadhesion for the handling of many different products. The project includes the deployment of technologies in 5 industrially relevant scenarios: 4 manufacturing lines in different sectors, automotive, household appliances, hand tool manufacturing and food processing, and 1 in logistics to validate that the technologies can be transferred to other sectors.

In these different industrial settings, HARTU researchers will focus on the abilities of robots regarding the manipulation and assembly of a wide range of objects having very different shapes, materials and sizes. The goal is to develop an effective and intelligent handling system, which through AI is able to tackle the complexity of different work environments, to improve its capabilities over time, and to support the workers when it is needed.

HARTU's consortium consists of 14 partners: 12 are European companies and research institutes, and 2 are Taiwan-based companies.

During its three years of research, HARTU will work within partnering manufacturing industries to study their production and organizational characteristics, gather requirements, and develop the best systems and methodologies to increase flexibility, reconfigurability, and efficiency of production lines.

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More information & hyperlinks

Web resources:	https://cordis.europa.eu/project/id/101092100 https://www.hartu-project.eu/ - Website
Start date:	01-01-2023
End date:	31-12-2025
Total budget - Public funding:	5 926 987,00 Euro - 5 926 987,00 Euro
Twitter:	@hartu_project

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Original description

HARTU will provide the necessary tools to implement three basic stages of parts handling, i.e., grasping, assembly and releasing. These tools aim to address the key challenges for creating handling applications by means of innovative technical approaches: (1) self-supervised grasp and release planning policies identification and control; (2) to learn and control contact-rich assembly skills from human demonstrations; (3) to develop an AI-based multi-modal perception for visual-servoing and continuous monitoring in handling operations, supported by virtual and continuous learning; and (4) to develop versatile and dexterous soft grippers with electro-active fingertips.
HARTU is an industry-driven research project that includes the deployment of technologies in 5 industrially relevant scenarios: 4 manufacturing lines in different sectors: automotive, household appliances, hand tool manufacturing and food processing, and 1 in logistics to validate that the technologies can be transferred to other sectors. They offer an enormous variability of products in terms of shape, material and sizes.
This approach contributes to the (1) industrial objective of HARTU, i.e., to increase the flexibility, reconfigurability and efficiency of manufacturing lines through easy to integrate and configure, safe and reliable handling systems, supported by tools for application development and a reference architecture. It also contributes to the (2) social objective: to contribute to user acceptance and adoption, identification of skills development needs and compliance with the liability/legal and ethic aspects.