Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

UAVs are increasingly incorporated in a wide range of domains such as disaster
management and rescue missions. UAV path planning deals with finding the most optimal or …

Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …

Recently, technologies related to Unmanned Aerial Vehicle (UAV) are growing rapidly
particularly sensors, networking, and processing technologies. Accordingly, governments …

There has been an increasing interest in researching, developing and deploying multi-robot
systems. This has been driven mainly by: the maturity of the practical deployment of a single …

The coverage path planning (CPP) algorithms aim to cover the total area of interest with
minimum overlapping. The goal of the CPP algorithms is to minimize the total covering path …

Routing remains the most important problem to be explored, for discovering an ideal
pathway in unmanned aerial vehicles (UAVs). Several problems for identifying and targeting …

Aerial manipulation has direct application prospects in environment, construction, forestry,
agriculture, search, and rescue. It can be used to pick and place objects and hence can be …

Nowadays, Unmanned Aerial Vehicles (UAVs) are widely deployed in many contexts
(civilian and military). Real experiments using UAVs are costly; therefore, the performances …

The field of structural inspection acquired a new boost with the development of UAVs
(Unmanned Aerial Vehicles). However, the flight time of a UAV is still short compared to the …