Handling with AI-enhanced Robotic Technologies for flexible manufactUring

Digital, Industry & SpaceHORIZON-RIAID: 101092100
EC Contribution
€59,270
Consortium Size
14 orgs
Start Year
2023
Summary

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.

Consortium (14)

Project Results (26)

Source: CORDIS, the EU research results database.

Publications (16)
Virtual Reality and AI for Training in Manufacturing: Advancing Human-AI Teaming and Collaboration
Communications in Computer and Information Science, HCI International 2025 – Late Breaking Papers· 2026DOI
Andrea Capaccioli, Nicola Cavagnetto, Emma Volpato, Linda Napoletano
A novel energy-based numerical approach for adhesive contact mechanics of rough surfaces
Journal of the Mechanics and Physics of Solids· 2025DOI
Michele Santeramo, Giuseppe Carbone, Stefan Krenn, Carmine Putignano
Anisotropic shrinkage and finite strains in confined frictional contacts
Tribology International· 2025DOI
Marco Ceglie, Cosimo Mandriota, Giuseppe Carbone, Nicola Menga, Antoine Chateauminois
Continuous Learning of Contact Episodes from Proprioceptive Sensors in Industrial Assembly Scenarios Using Adaptive Resonance Theory
Lecture Notes in Networks and Systems, Intelligent and Fuzzy Systems· 2025DOI
Vinzenz Bargsten, Dimitrios Rakovitis, Vamsi Krishna Origanti, Adrian Danzglock, Frank Kirchner
Efficient 6D Object Pose Estimation for Robotic Grasping Using Lightweight Neural Network Architectures
Springer Proceedings in Advanced Robotics, European Robotics Forum 2025· 2025DOI
Alejandro Grajeda, David Castro, Jawad Masood
Electroadhesion Suction Cups
Advanced Materials· 2025DOI
Fabio Caruso, Herbert Shea, Vito Cacucciolo
Electroadhesion zipping with soft grippers on curved objects
Extreme Mechanics Letters· 2025DOI
Massimiliano Mastrangelo, Fabio Caruso, Giuseppe Carbone, Vito Cacucciolo
Force feedback using fiber Bragg gratings embedded in a suction cup
29th International Conference on Optical Fiber Sensors· 2025DOI
Joaquín Ascorbe, Abel Feijóo, Jawad Masood, Tania Grandal
Look Ahead Optimization for Managing Nullspace in Cartesian Impedance Control of Dual-Arm Robots
2025 IEEE/SICE International Symposium on System Integration (SII)· 2025DOI
Vamsi Krishna Origanti, Adrian Danzglock, Frank Kirchner
MujocoROS2Control: Seamless MuJoCo Integration with ROS 2 for Robot Simulation and Control
Journal of Open Source Software· 2025DOI
Adrian Danzglock, Vamsi Krishna Origanti, Frank Kirchner
Simulation-Based Synthetic Data Generation for Automated Training of Bin-Picking Segmentation Models
2025 11th International Conference on Automation, Robotics, and Applications (ICARA)· 2025DOI
Ander Iriondo, Andoni Rivera, Aitor Madrazo, Aitor Gutierrez, Ander Ansuategi, Iñaki Maurtua
Towards Human-Centric Industrial Training
Lecture Notes in Mechanical Engineering, Design Tools and Methods in Industrial Engineering IV· 2025DOI
Niccoló Becattini, Gaetano Cascini, Mario Covarrubias Rodriguez, Nicolò Dozio, Francesco Ferrise, Shumin Li, Federico Morosi, Linda Napoletano, Erica Vanucci, Debora Zanatto
Gaussian Mixture Likelihood-based Adaptive MPC for Interactive Mobile Manipulators
2024 IEEE International Conference on Robotics and Automation· 2024DOI
D. Rakovitis and D. Mronga
Physics-Based Self-Supervised Grasp Pose Detection
Machines· 2024DOI
Jon Ander Ruiz; Ander Iriondo; Elena Lazkano; Ander Ansuategi; Iñaki Maurtua
Preliminary Evaluation of an Embedded FBG-Based Force Sensor for In-Hand Grasp Monitoring
Springer Proceedings in Advanced Robotics, European Robotics Forum 2024· 2024DOI
Jawad Masood, Abel F. Alonso, Joaquín A. Muruzabal, Tania G. González
Robotic Grasping Decision Making Assisted by AI and Simulation
Springer Proceedings in Advanced Robotics, European Robotics Forum 2024· 2024DOI
Jon Ander Ruiz, Ander Iriondo, Andoni Rivera, Ander Ansuategi, Iñaki Maurtua
Deliverables (9)
Other Results (1)
Periodic Reporting for period 1 - HARTU (Handling with AI-enhanced Robotic Technologies for flexible manufactUring)