Li, Mickey;
Richards, Arthur G;
Sooriyabandara, Mahesh;
(2024)
Experimental Validation of the Reliability-Aware Multi-UAV Coverage Path Planning Problem.
In:
AIAA SCITECH 2024 Forum.
American Institute of Aeronautics and Astronautics: Orlando, FL, USA.
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Abstract
Unmanned aerial vehicles (UAVs) have become crucial for various applications, necessitating reliable and time-constrained performance. Multi-UAV solutions offer advantages but require effective coordination. Traditional coverage path planning methods overlook uncertainties and individual UAV failures. To address this, reliability-aware multi-UAV coverage path planning methods optimise task allocation to maximise mission completion probabilities given a failure model. This paper presents an experimental validation of the reliability-aware approach, specifically an approach using a Greedy Genetic Algorithm (GGA). We evaluate the GGA performance in real-world environments, comparing mission reliability to computed reliability and comparing it against a traditional multi-UAV methods. The experimental validation demonstrates the practical viability and effectiveness of the reliability-aware approach, showing significant improvement in mission reliability despite the inevitable mismatch between real and assumed failure models.
| Type: | Proceedings paper |
|---|---|
| Title: | Experimental Validation of the Reliability-Aware Multi-UAV Coverage Path Planning Problem |
| Event: | AIAA SCITECH 2024 Forum |
| Location: | Orlando, FL, USA |
| Dates: | 8 Jan 2024 - 12 Jan 2024 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.2514/6.2024-2879 |
| Publisher version: | https://doi.org/10.2514/6.2024-2879 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10190474 |
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