Carlos Henrique Marques dos Santos
Papers
2
Total Citations
20
H-Index
2
About
Carlos Henrique Marques dos Santos is a robotics researcher whose work bridges autonomous systems, motion planning, and reinforcement learning. His primary research areas include mobile robotics for infrastructure inspection, robot soccer simulation, and intelligent control algorithms. Santos’s most impactful contribution is his 2021 paper on geometrical motion planning for cable-climbing robots, which has garnered 13 citations. This work introduces a novel robotic system capable of traversing electricity distribution lines while autonomously overcoming obstacles such as insulators—a critical advancement for power line inspection and maintenance. Earlier, Santos explored multi-agent reinforcement learning in his 2012 paper on Q-learning for controlling attack behaviors in 2D robot soccer simulation teams (7 citations). This study modified player behavior during ball control using a tailored Q-learning algorithm, contributing to the RoboCup 2D simulation league. His work demonstrates a unique ability to apply theoretical control methods to practical robotic challenges, from real-world infrastructure to competitive simulation environments. Santos continues to advance the field of autonomous robotics, with his research offering valuable insights for students and researchers interested in motion planning, reinforcement learning, and field robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2