Robotic sealing through generative artificial intelligence

• Grant number: 24/09455-5
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: November 28, 2024
• End date: February 27, 2025
• Field of knowledge: Engineering - Mechanical Engineering - Manufacturing Processes
• Principal Investigator: Gustavo Franco Barbosa
• Grantee: Carlos Eduardo Dassi Kiyoto
• Supervisor: Loris Roveda
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
• Institution abroad: Scuola Universitaria Professionale Della Svizzera Italiana, Lugano, Switzerland
• Associated to the scholarship: 23/16391-0 - Monitoring the robotic sealing process using computer vision concepts, BP.IC

Abstract

Sealing process is present in many branches of manufacturing industry, such as: automotive, aerospace, electronics, oil&gas, packaging, chemical, medical, optical, assembly, among others. It is responsible for preventing leaks, corrosion and lightning, filling gaps, and, to seal pressurized areas, tasks that need to be performed with precision, safety, and efficiency. Thus, this research proposes to integrate the vision computing and robot technologies to a Generative Artificial Intelligence (GenAI), on a robotized sealing system. So, this project will focus on the use of a collaborative robot (cobot) equipped with a sealer end-effector that aims to improve human-robot interaction. This research will be performed on the deposition sealing process oriented by a real-time monitoring based on computing vision and sensor pattern recognition, assisted by GenAI-path generation, that improves the interaction with operators, optimizes the operational efficiency and supports manufacturing shop-floor