Results
Discover the outcomes of the HARTU project
HARTU sets out to deploy new technologies in different relevant industrial use-cases. This document has been compiled based on input from each of the consortium members and describes the scenarios of 5 industrial partners.
In line with the user-centred and industrial driven approach followed by the HARTU project, the consortium has implemented an initial set of demonstrators as part of this strategy. A total of 11 prototypes are available, corresponding to the 8 use cases defined by the project. The document includes also the methodology that is used for the User Research, as well as the initial insights on this topic which are the result of the literature review and the various workshops that have been held in the first 10 months of the project with different stakeholders from the 5 Industrial companies offering the validation scenarios. Finally, Legal and Ethical aspects that have to be considered are presented.
The current deliverable aims to report the main results of tasks T2.1 and provides relevant information about Reference Architecture or high-level specification of the HARTU software solutions that will be provided by technical partners (TEK, AIMEN, ITRI and DFKI) to address pilot needs and requirements. Tasks T2.1 covers the overall project approach on Reference Architecture model, reporting the results on technical drawings and software components specifications identifying key technical challenges to be addressed in HARTU, in terms of implementation and architecture definition.
HARTU has developed a set of simulation tools (SimEnv) to help system integrators configure some features of a handling application. This document describes these tools.
This document describes the main concepts of HARTU-APP-MANAGER, the tool that HARTU makes available to end users and system integrators to create and control robotic applications, thus giving rise to two different functionalities: HARTU-APP-CREATOR and HARTU-APP-CONTROL. The core of HARTU-APP-MANAGER is based on the concept of behaviors trees and its implementation using BehaviorTree.CPP 3.8, a C++ library for building BehaviourTrees. The GUI is inspired and based GROOT, an advanced open IDE for creating and debugging BehaviourTrees. HARTU-APP-MANAGER is an open tool that will be made accessible through the GITLAB infrastructure created by HARTU.
The overall topic of the HARTU project is to develop robotic technologies which allow a more flexible robotic automation of manufacturing and logistics tasks. One element towards achieving this goal is the application of data-driven machine learning approaches. In the course of the method development in the project, multiple datasets related to robotic assembly have been created for this purpose. This document describes a dataset of user demonstrations for learning and generalizing robotic assembly skills, a dataset of measurements of a novel type of force sensor using fiber optics, as well as image datasets of the objects being handled in various containers.
This document presents initial the dissemination, exploitation, and communication plan developed to promote the project and raising awareness and visibility about its progress and achievements. This plan outlines the dissemination goals, the methodology behind it, the overall dissemination approach, and the channels used, and identifies the dissemination actions planned for the project duration. It is designed as a practical framework for day-to-day communications activities, which will range from the communication through the project’s social channels and its website, to graphic activities, such as posters and brochures to be proposed at events where HARTU will participate. It includes a section devoted to the exploitation of HARTU’s results, which includes a series of strategic activities and a structured methodology that will help to identify a detailed exploitation plan encompassing the project and the partners’ needs.
This deliverable is an update of the D6.1 Dissemination, Communication and Exploitation plan submitted in June 2023. It provides an overview of the progress and effectiveness of HARTU’s communication strategy at the 18-month mark. It encompasses a comprehensive review of past
events, communication actions implemented, graphical products developed, and an evaluation of the communication success against the Key Performance Indicators (KPI). Additionally, the update identifies deviations and areas for improvement observed as the project has advanced.
HARTU will adhere to FAIR principles by: Making data findable, Making data accessible, Data re-usability. HARTU project will use and generate several datasets. HARTU will make them available to stakeholders unless some restrictions apply for commercial or privacy reasons.
Scientific publications
Read our researchers’ studies
In European Robotic Forum 2024, by TEK, Italy. (15th ERF, Volume 1)
In European Robotic Forum 2024, by AIMEN, Italy. (15th ERF, Volume 1)
In International Conference ADM2024 (waiting for approval) by DBL, September 2024, Italy.
Simulation-Based Synthetic Data Generation for Automated Training of Bin-Picking Segmentation Models
In ICARA 2025, by TEK, February 2025, Croatia. (Link to be added soon)
Promotional materials
Help HARTU spread its work
Videos
HARTU’s second webinar
Shaping ethical and inclusive futures: the human side of innovation in robotics. The second HARTU webinar brought together experts from HARTU, SMARTHANDLE, AGILEHAND, and MASTERLY projects to explore the future of Human-AI Teaming and Human-robot interaction in manufacturing. The webinar focuses on the critical role of humans in increasingly automated industrial processes.
HARTU’s 1st project video
Welcome to the HARTU project! In this video, we present an overview of our research, its objectives, and the five industrial case studies we’re focusing on.
HARTU’s first webinar
How to pick (almost) anything: soft grippers revolution. The webinar is focused on the innovative gripper technologies that HARTU intends to implement in its case studies.
