Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Over the past decades, quantum scientists have introduced various technologies that operate leveraging quantum mechanical effects, including quantum sensors, computers and memory devices. Most of ...

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.