Autonomous Robotic System for Visual Inspection in Electrical Substations and Cable Galleries
Resumo
This article presents a research project focused on improving the efficiency and safety of maintenance processes in hazardous and difficult-to-access environments, such as open-air electrical substations and cable galleries. A mobile robot integrates perception technologies to gather and process an inner representation of the environment allowing it to recognize known inspection targets. The developed prototype incorporates teleoperation and autonomous mission capabilities, as well as object recovery and incremental learning techniques to enhance detection accuracy. The article also details creation of both real and synthetic datasets for training and testing, as well as the evaluation of the robot’s performance in object detection and tracking process. Results suggest that the developed technology can improve maintenance processes, reduce downtime and costs associated with equipment failures, and minimize occupational hazards.
Palavras-chave:
perception, electrical substations, ground robots, object detection
Publicado
09/10/2023
Como Citar
FRANÇA, Matheus; LIMA, Rebeca; CERBANTES, Marcel; PINHEIRO, Oberdan; LEPIKSON, Herman.
Autonomous Robotic System for Visual Inspection in Electrical Substations and Cable Galleries. In: SIMPÓSIO BRASILEIRO DE ROBÓTICA E SIMPÓSIO LATINO AMERICANO DE ROBÓTICA (SBR/LARS), 15. , 2023, Salvador/BA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 421-426.