Robotic system for automated disassembly of electronic waste: Unscrewing
The increasing volume of electronic Waste from Electrical and Electronic Equipment (WEEE) presents significant environmental and economic challenges. Efficient recycling requires the disassembly of electronic devices, a process that is currently labor-intensive and costly. In this paper, we present a robotic system designed to automate the disassembly process, focusing on the task of unscrewing fasteners commonly found in electronic devices. The system integrates a Universal Robots UR10e robotic arm, an Intel RealSense D405 vision camera, and a custom-designed mechatronic screwdriver. The vision system trains several object detection models to assist robotic control and identify four different types of screw heads. The robot employs force-sensing techniques to align the screwdriver tip with the screw head before unscrewing. Validation is carried out on a real recycled hoverboard, demonstrating the system’s efficiency in automating unscrewing processes. The results can be generalized to other unscrewing operations in various industries. • Robotic system for automated disassembly, focusing on unscrewing fasteners. • The system uses a UR10e arm, a RealSense D405 camera, and a custom screwdriver. • The vision system uses a pretrained model to identify different screw head types. • Force-sensing techniques ensures precise screwdriver alignment before unscrewing. • Unscrewing efficiency was validated on a real recycled hoverboard.
Authors
- Olatz Iparraguirre (ORCID: https://orcid.org/0000-0001-5661-0287)
- Jorge Juan Gil (ORCID: https://orcid.org/0000-0002-1091-5381)
- Nicolás Muñóz-Galeano (ORCID: https://orcid.org/0000-0003-1407-5559)
- Iñaki Díaz (ORCID: https://orcid.org/0000-0003-0523-7405)
- Diego Borro (ORCID: https://orcid.org/0000-0002-8789-4777)
- F. Ricardo (ORCID: https://orcid.org/0000-0002-7897-8303)
- Martxel Eizaguirre (ORCID: https://orcid.org/0000-0001-9476-2804)
Institutions
- Centro de Estudios e Investigaciones Técnicas de Gipuzkoa (ES)
- Universidad de Navarra (ES)
Publication Details
- Journal
- Robotics and Computer-Integrated Manufacturing
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1016/j.rcim.2025.103032
- Citations
- 5
- Primary Topic
- Robot Manipulation and Learning
- Type
- article
- Field-Weighted Citation Impact
- 6.07