Gustavo de Carvalho Bertoli
Papers
1
Total Citations
4
H-Index
1
About
Gustavo de Carvalho Bertoli is a researcher focused on the intersection of unmanned aerial systems (UAS), path planning, and simulation technologies. His most notable contribution is the development of an A-star path planning simulation for UAS Traffic Management (UTM) applications, which integrates Robot Operating System (ROS) and Gazebo to calculate and simulate optimal drone routes in complex urban environments. This work, published in 2021 and garnering 4 citations, addresses critical challenges in autonomous navigation by creating new ROS packages that work alongside open-source tools, while also incorporating current UAS regulations into the system design. Bertoli’s research is particularly significant for advancing the practical implementation of drone traffic management, offering a robust framework for testing and validating autonomous flight paths before real-world deployment. His work demonstrates a strong command of simulation-based methodologies, making him a valuable contributor to the growing field of urban air mobility and autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1