Daniel Edgardo Tió Sudbrack
Daniel Edgardo Tió Sudbrack has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Rafael Zimmermann Homma
CELESC, Florianopolis, Brazil
3 shared publications - Rogério Sales Gonçalves
Federal University of Uberlândia
3 shared publications - Bruno Clasen
Centrais Eletricas de Santa Catarina, Florianopolis, Brazil
2 shared publications - Paulo Victor Trautmann
Centrais Eletricas de Santa Catarina, Florianopolis, Brazil
2 shared publications - Aniel Silva de Morais
Faculty of Electrical Engineering, Federal University of Uberlandia, Uberlandia 38408-100, Brazil
1 shared publication - Breno Batista Moura
School of Mechanical Engineering, Universidade Federal de Uberlândia, Uberlândia, Brazil
1 shared publication
Latest Publications
- Open Access
- 23 June 2026
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 112 (3)
AI-Based Control of a Drone-Robot for Automatic Cleaning of Power Line Insulator
The exposure of transmission lines in close proximity to coastal or industrial environments to high levels of pollution from chemical substances and salts is a factor that can degrade the performance of electrical systems. Given this scenario, the washing of insulators is an essential measure to mitigate the adverse effects of these pollutants. However, the process is often risky considering that technicians work in close proximity to live equipment. To address this safety concern, a drone-robot for automatic cleaning of insulator chain is proposed. This equipment, adapted with a high-pressure water pump, was designed to perform the task of cleaning insulators on live lines, thus providing a superior level of safety for technical personnel. The drone is equipped with an RGBD camera and an onboard computer, enabling tracking of the target insulator for cleaning using artificial intelligence. The movement of the drone is determined by the generation of setpoints for the flight controller based on this tracking. The results were obtained from experimental tests conducted on high voltage power transmission lines, demonstrating consistent performance in terms of flight stability and cleaning efficiency. These findings provide strong evidence of the operational robustness and practical feasibility of the proposed drone-robot system in high-risk electrical environments.
- 23 June 2026
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 112 (3)
Open AccessAI-Based Control of a Drone-Robot for Automatic Cleaning of Power Line Insulator
The exposure of transmission lines in close proximity to coastal or industrial environments to high levels of pollution from chemical substances and salts is a factor that can degrade the performance of electrical systems. Given this scenario, the washing of insulators is an essential measure to mitigate the adverse effects of these pollutants. However, the process is often risky considering that technicians work in close proximity to live equipment. To address this safety concern, a drone-robot for automatic cleaning of insulator chain is proposed. This equipment, adapted with a high-pressure water pump, was designed to perform the task of cleaning insulators on live lines, thus providing a superior level of safety for technical personnel. The drone is equipped with an RGBD camera and an onboard computer, enabling tracking of the target insulator for cleaning using artificial intelligence. The movement of the drone is determined by the generation of setpoints for the flight controller based on this tracking. The results were obtained from experimental tests conducted on high voltage power transmission lines, demonstrating consistent performance in terms of flight stability and cleaning efficiency. These findings provide strong evidence of the operational robustness and practical feasibility of the proposed drone-robot system in high-risk electrical environments.
- 4 June 2024
- Published by Springer Nature in International Journal of Intelligent Robotics and Applications
- Vol. 9 (3) , 818-832
Automated classification of electrical network high-voltage tower insulator cleanliness using deep neural networks
- 4 June 2024
- Published by Springer Nature in International Journal of Intelligent Robotics and Applications
- Vol. 9 (3) , 818-832
Automated classification of electrical network high-voltage tower insulator cleanliness using deep neural networks
- Open Access
Drone–Robot to Clean Power Line Insulators
The inspection and maintenance of transmission systems are necessary for their proper functioning. In this way, among the line’s critical points are the insulator chains, which are responsible for providing insulation between conductors and structures. The accumulation of pollutants on the insulator surface can cause failures in the power system, leading to power supply interruptions. Currently, the cleaning of insulator chains is performed manually by operators who climb towers and use cloths, high-pressure washers, or even helicopters. The use of robots and drones is also under study, presenting challenges to be overcome. This paper presents the development of a drone–robot for cleaning insulator chains. The drone–robot was designed to identify insulators by camera and perform cleaning through a robotic module. This module is attached to the drone and carries a battery-powered portable washer, a reservoir for demineralized water, a depth camera, and an electronic control system. This paper includes a literature review on the state of the art related to strategies used for cleaning insulator chains. Based on this review, the justification for the construction of the proposed system is presented. The methodology used in the development of the drone–robot is then described. The system was validated in a controlled environment and in field experimental tests, with the ensuing discussions and conclusions formulated, along with suggestions for future work.
Open AccessDrone–Robot to Clean Power Line Insulators
The inspection and maintenance of transmission systems are necessary for their proper functioning. In this way, among the line’s critical points are the insulator chains, which are responsible for providing insulation between conductors and structures. The accumulation of pollutants on the insulator surface can cause failures in the power system, leading to power supply interruptions. Currently, the cleaning of insulator chains is performed manually by operators who climb towers and use cloths, high-pressure washers, or even helicopters. The use of robots and drones is also under study, presenting challenges to be overcome. This paper presents the development of a drone–robot for cleaning insulator chains. The drone–robot was designed to identify insulators by camera and perform cleaning through a robotic module. This module is attached to the drone and carries a battery-powered portable washer, a reservoir for demineralized water, a depth camera, and an electronic control system. This paper includes a literature review on the state of the art related to strategies used for cleaning insulator chains. Based on this review, the justification for the construction of the proposed system is presented. The methodology used in the development of the drone–robot is then described. The system was validated in a controlled environment and in field experimental tests, with the ensuing discussions and conclusions formulated, along with suggestions for future work.