The RE-PAIR project aims to address challenges in Bonfiglioli’s forklift axle remanufacturing process by incorporating enhanced vision systems and improving human-robot interaction. It will develop a robot enhanced inspection station that utilizes advanced defect perception tools for real-time decision-making, ensuring accuracy and reliability, which are essential for effective collaboration with operators. The projected user interface directly on inspected components aims to facilitate intuitive interactions, yet this requires careful design to create a seamless user experience. The reconfiguration capability is designed to enable quick adjustments to the system, allowing it to perform the same tasks on different products with varying geometries and issues. By addressing these aspects through objective and traceable quality evaluation, RE-PAIR seeks to unlock new remanufacturing possibilities and contribute to ecological and economic benefits by minimizing waste and enhancing efficiency throughout the value chain.
RE-PAIR will optimize the remanufacturing process of complex components by significantly reducing inspection time, assisting operators in identifying defects and granting objective reporting of the results to customers. Moreover, it will streamline the reconfiguration phase and shorten the time needed to adapt the system for new parts. To achieve these objectives, the project will: 1) Integrate and adapt robust AI-based visual anomaly detection.
2) Ensure accurate and efficient localization and pose estimation of parts, creating a clearly defined environment for the safe and effective execution of the robot’s trajectory.
3) Validate an innovative human-robot interaction solution that utilizes AR projection for anomaly
verification during the inspection phase and for proper robot placement when extending inspection
capabilities to new components during the reconfiguration phase.
The RE-PAIR project integrates a range of advanced technologies and methods to enhance the remanufacturing process of mechanical components through a collaborative inspection station. Key elements include Robot-enhanced inspection process, Precise part localization and pose estimation, High-accuracy visual inspection, Dynamic camera path planning, Projection alignment and accuracy, Collaborative human-robot interaction, Reconfiguration capabilities. These technologies and methods combined offer a comprehensive approach to optimizing the initial inspection
phase in the remanufacturing workflow, enhancing both effectiveness and adaptability while addressing the complexities of modern manufacturing environments.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement nº 101135708. The dissemination of results herein reflects only the author’s view, and the European Commission is not responsible for any use that may be made of the information it contains.
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