Abstract
This paper aims at proposing a novel approach for path planning of unmanned aerial vehicle (UAV) along with obstacle avoidance. The path planning is achieved through swarm intelligence algorithm inspired by the behaviour of grey wolves known as grey wolf optimiser (GWO). The optimal path planning of UAV using GWO is obtained by proper choice of objective function for targets and obstacle avoidance condition. The algorithm has three search agents namely alpha, beta and gamma which help in proper convergence of solution to the target while avoiding obstacle. The proposed approach is tested with different test cases of target and obstacles conditions and the simulated results have been reported. Simulation is carried out in MATLAB environment.
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