Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
Abstract: Path planning for quadrotor unmanned aerial vehicles (UAVs) in complex three-dimensional (3D) environments is challenged by nonlinear dynamics, dense obstacles, and conflicting objectives.
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