Optimization Methods Applied to Motion Planning of Unmanned Aerial Vehicles: A Review

A system that can fly off and touches down to execute particular tasks is a flying robot. Nowadays, these robots are capable of without human control make decisions according the situation with help onboard sensors controllers. Among robots, Unmanned Aerial Vehicles (UAVs) highly attractive applicable for military civilian purposes. These applications require motion planning UAVs along collision avoidance protocols get better robustness faster convergence rate meet target. Further, optimization algorithm improves performance minimizes error. In this survey, diverse scholarly articles were gathered highlight use bio-inspired algorithms. This study will assist researchers in understanding latest work done through various techniques. Moreover, review presents contributions limitations every article show effectiveness proposed work.