Tiago Gomes

Papers

Total Citations

H-Index

About

Tiago Gomes focuses on advancing automation in the cork industry, a vital sector for natural cork production. His research integrates robotics, computer vision, and neural networks to streamline the manufacturing of cork stoppers, particularly in the segmentation and manipulation of cork strips in bulk. In his 2021 work, "Segmentation and Manipulation of Cork Strips in Bulk," he addresses inefficiencies in automated cork punching machines, proposing novel methods to enhance material handling and processing. His subsequent study, "Neural Network Classifier and Robotic Manipulation for an Autonomous Industrial Cork Feeder," demonstrates how deep learning can classify cork pieces and guide robotic arms for precise feeding, reducing manual intervention. Though his citation counts are modest—2 and 1 respectively—these contributions are foundational for a niche but economically significant field, offering tangible solutions to improve productivity and reduce waste in cork manufacturing. Gomes’ work stands out for its direct industrial application, bridging the gap between theoretical AI and practical automation in a traditional industry. His achievements highlight the potential of intelligent robotics to transform heritage sectors, making him a key figure in sustainable industrial innovation.