Levi Welington de Resende Filho
Vale Technological Institute, Universidade Federal de Ouro Preto
Papers
2
Total Citations
48
H-Index
2
About
Levi Welington de Resende Filho is a robotics researcher whose work focuses on the intersection of autonomous inspection, confined space exploration, and industrial asset integrity, particularly within the mining sector. His major contributions center on developing robotic solutions for hazardous and hard-to-reach environments. Notably, he is the lead author of the highly cited paper "Towards Semi-autonomous Robotic Inspection and Mapping in Confined Spaces with the EspeleoRobô" (2021, 44 citations), which introduces a robotic system designed for navigating and mapping challenging, confined underground spaces. This work has significant implications for safety and efficiency in mining operations. He has also advanced the field of predictive maintenance with his study "Deep Learning for Early Damage Detection of Tailing Pipes Joints with a Robotic Device" (2020, 4 citations), addressing a critical problem in the mining industry—specifically, the early detection of failures in the extensive pipeline networks used to transport tailings from plants to dams, such as the 3.5 km system at Vale S.A.’s Salobo Mine in the Amazon. His research demonstrates a clear commitment to applying cutting-edge robotics and AI to solve real-world industrial challenges, enhancing both operational safety and environmental protection.
Research Focus
Key Achievements
Top Papers
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