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: To address the challenge of autonomous navigation for mobile robots in complex environments, many recent path planning methods employ a two-layer motion framework that integrates both global ...
Abstract: Particle swarm optimization (PSO) is an optimization algorithm that allows particles to find the optimal solution in the search space by simulating the foraging behavior of a flock of birds.
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