Safe flyable and energy efficient UAV missions via biologically inspired methodsSafe flyable and energy efficient UAV missions via biologically inspired methods Δημοσίευση σε Συνέδριο Conference Publication 2022-12-142020enIn this article the offline Unmanned Aerial Vehicle (UAV) path planning problem is addressed for real environments whilst enhancing energy requirements. In particular, a two-step procedure is adopted for the determination of the energy efficient safe flyable path that satisfies a-priori defined criteria. By the former step, via principles of mechanics, safe flyable candidate paths are designed meeting functional/physical limitations of the aerial vehicle. By the latter step, those paths are fed in the Genetic Algorithm (GA) setup, and the best path that fulfils mission's objectives and satisfies constraints is determined. The efficacy of the approach is shown via simulation examples, where a UAV is deployed to safely navigate with the least energy demand in an a priori known environment whilst meeting mission objectives.http://creativecommons.org/licenses/by/4.0/1868-18772020 International Conference on Unmanned Aircraft Systems Platanitis Konstantinos Πλατανιτης Κωνσταντινος Kladis Georgios P. Tsourveloudis Nikolaos Τσουρβελουδης Νικολαος Institute of Electrical and Electronics Engineers Genetic algorithms Energy efficiency Unmanned aerial vehicles Trajectory Biology Three-dimensional displays