Davi Riiti Goto Do Valle

Universidade Tecnológica Federal do Paraná

Papers

Total Citations

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About

Davi Riiti Goto Do Valle is a researcher at the forefront of robotic inspection systems for critical energy infrastructure. His work centers on developing autonomous, multi-sensor platforms for power line monitoring, addressing the growing need for reliable, predictive maintenance in electrical grids. His most cited paper, "A Novel Method for Multi-Modal Predictive Inspection of Power Lines" (2024, 4 citations), introduces a line-crawling robot that integrates diverse sensor data to assess conductor conditions, enabling early detection of faults before failures occur. This approach significantly enhances the safety and efficiency of traditional inspection methods. Valle also contributed to "A Robotic Cable-Gripper for Reliable Inspection of Transmission Lines" (2024, 1 citation), focusing on mechanical design innovations that ensure stable robot traversal on energized cables. His work directly impacts the reliability of power distribution systems, reducing downtime and operational risks. By combining robotics, sensor fusion, and predictive analytics, Valle is advancing the next generation of autonomous utility inspection, making power grids smarter and more resilient.