Optimized coverage path planning with a team of multi-rotors for environment reconstruction.
- Resource Type
- Article
- Authors
- Guastella, Dario C.; Sutera, Giuseppe; Muscato, Giovanni
- Source
- AIP Conference Proceedings. 2024, Vol. 3094 Issue 1, p1-4. 4p.
- Subject
- *BIOLOGICALLY inspired computing
*SCIENCE conferences
*MOBILE robots
- Language
- ISSN
- 0094-243X
This article discusses the use of a team of unmanned aerial vehicles (UAVs) for photogrammetric reconstruction in areas that are inaccessible to humans, such as in natural disasters. The article focuses on the optimization of coverage path planning for the UAVs, using an offline approach to generate trajectories and identify the best solution before flight. The article also addresses the energy consumption problem and proposes an assignment optimization to reduce energy consumption and time spent during the mission. The results show that the proposed solution improves coordination between UAVs and reduces the distance traveled between sub-areas. [Extracted from the article]