Intelligent unmanned autonomous systems are some of the most important applications of
artificial intelligence (AI). The development of such systems can significantly promote …

Background The unraveling of the human-induced climate-change crisis has put to the forth
the ability of human-beings to impact the planet as a whole, but the discourse of politics has …

Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …

This paper presents a risk-aware path planning strategy for Unmanned Aerial Vehicles in
urban environments. The aim is to compute an effective path that minimizes the risk to the …

A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …

This paper investigates the control of a massive population of UAVs such as drones. The
straightforward method of control of UAVs by considering the interactions among them to …

Trajectory planning and tracking control are two keys of collision avoidance for autonomous
vehicles in critical traffic scenarios. It requires not only the system functionality, but also …

Path planning is an important field in the research of mobile robot technology. The so-called
path planning of mobile robot means that each robot plans a path of obstacle avoidance and …

A dynamic path-planning algorithm is proposed for routing unmanned air vehicles (UAVs) in
order to track ground targets under path constraints, wind effects, and obstacle avoidance …

This paper is concerned with path planning for unmanned aerial vehicles (UAVs) flying
through low altitude urban environment. Although many different path planning algorithms …