
refining the control systems of FlexRover and Mod-
uClimber to enhance their reliability in real-world ap-
plications.
The automation of transmission line inspections
is continuously evolving. Although current systems
have achieved significant advancements, challenges
remain in improving efficiency and reliability. It is an-
ticipated that robots will become more autonomous,
reducing dependence on human operators and en-
hancing inspection accuracy. Artificial intelligence
will also enable robots to make real-time decisions,
such as obstacle avoidance and route optimization.
Another significant advancement will be the im-
plementation of autonomous power systems, replac-
ing fixed power supplies with rechargeable batteries,
such as Li-ion or Li-po. This will provide greater au-
tonomy, reducing maintenance needs and increasing
inspection efficiency. Optimizing energy consump-
tion and in-field battery recharging are promising ar-
eas for future research.
Next-generation sensors and wireless communica-
tion technologies will play a fundamental role in im-
proving inspections. The use of high-definition cam-
eras, thermal sensors, and LIDAR will allow for more
precise fault detection. The integration of intercon-
nected sensor networks will enable real-time commu-
nication with control centers, facilitating analysis and
decision-making.
In terms of control architecture, the integration
of multi-robot systems will be crucial. Coordination
among robots will allow for greater coverage of trans-
mission lines and increased task efficiency. Collabo-
rative navigation systems, where robots share infor-
mation about position and environmental conditions,
can result in more efficient and safer operations.
Future research should focus on improving the au-
tonomy, maneuverability, and adaptability of robots,
especially in dynamic environments. The integration
of artificial intelligence to optimize control and navi-
gation is also a promising area. The work of (de Al-
buquerque et al., 2024), which utilized a simulation
environment similar to CoppeliaSim for transmission
line inspections, exemplifies how these technologies
can be applied in real-world scenarios.
ACKNOWLEDGEMENTS
The project is supported by the National Council for
Scientific and Technological Development (CNPq)
under grant number 407984/2022-4; the Fund for
Scientific and Technological Development (FNDCT);
the Ministry of Science, Technology and Innovations
(MCTI) of Brazil; Brazilian Federal Agency for Sup-
port and Evaluation of Graduate Education (CAPES);
the Araucaria Foundation; the General Superinten-
dence of Science, Technology and Higher Education
(SETI); and NAPI Robotics.
REFERENCES
A. B. Costa, J. M. P. (2023). Tend
ˆ
encias em rob
´
otica para
inspec¸
˜
ao de sistemas el
´
etricos de pot
ˆ
encia. Encontro
Nacional de Engenharia, 12(1):58–65.
Alhassan, A. B., Zhang, X., Shen, H., and Xu, H. (2020).
Power transmission line inspection robots: A review,
trends and challenges for future research. Interna-
tional Journal of Electrical Power & Energy Systems,
118:105862.
Bayındır, L. (2016). A review of swarm robotics tasks. Neu-
rocomputing, 172:292–321.
Chai, R., Guo, Y., Zuo, Z., Chen, K., Shin, H.-S., and Tsour-
dos, A. (2024). Cooperative motion planning and
control for aerial-ground autonomous systems: Meth-
ods and applications. Progress in Aerospace Sciences,
146:101005.
de Albuquerque, J. M. N., Neto, O. R., Arm
ˆ
enio, G. F.,
Corr
ˆ
ea, V. M., do Valle, D. R. G., Domingues, A.,
Rohrich, R. F., and de Oliveira, A. S. (2024). A
novel method for multi-modal predictive inspection of
power lines. IEEE Access, 12:184680–184691.
Jiang, W., Liu, R., Yang, Y., Wan, S., Guo, X., Jiao, Z., and
Yu, H. (2018). Design and implementation of a new
climbing robot for high voltage transmission tower.
IOP Conference Series: Materials Science and Engi-
neering, 428(1):012071.
R. P. Almeida, L. F. Souza, M. J. C. (2022). T
´
ecnicas
avanc¸adas de inspec¸
˜
ao automatizada em linhas de
transmiss
˜
ao. Revista Brasileira de Engenharia
El
´
etrica, 17(3):215–229.
Rohrich, R. F., Valle, D. G. D., Albuquerque, J. M. N. D.,
Neto, O. R., Oliveira, A. S., and Oliveira, A. S. D.
(2023). A robotic cable-gripper for reliable inspection
of transmission lines. In Proceedings of the IEEE In-
ternational Symposium on Robotics and Automation.
T. A. Silva, R. F. Gomes, P. V. L. (2020). Rob
ˆ
os
para inspec¸
˜
ao em ambientes energizados: desafios e
soluc¸
˜
oes. Revista de Automac¸
˜
ao e Controle, 14(2):89–
97.
Wang, L. and Wang, H. (2016). A survey on insulator in-
spection robots for power transmission lines. pages
1–6.
Y. Zhang, L. Chen, H. W. (2021). Ai-based navigation for
power line inspection robots. IEEE Transactions on
Industrial Informatics, 17(5):3420–3430.
Zhu, B., Zhang, X., Zhang, H., Liang, J., Zang, H., Li, H.,
and Wang, R. (2020). Design of compliant mecha-
nisms using continuum topology optimization: A re-
view. Mechanism and Machine Theory, 143:103622.
ICINCO 2025 - 22nd International Conference on Informatics in Control, Automation and Robotics
266