This work presents a novel path planner, DE3D-NURBS, for 3D path planning considering
the maximum and minimum climb/dive angle and the maximum curvature imposed by a …

Motion planning is a mature area of research in robotics with many well-established
methods based on optimization or sampling the state space, suitable for solving kinematic …

Path planning is an crucial research area in robotics. Compared to other path planning
algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and …

Recent advancements in robotics have transformed industries such as manufacturing,
logistics, surgery, and planetary exploration. A key challenge is developing efficient motion …

In the rapidly evolving world of Unmanned Aerial Vehicles (UAVs), fixed-wing aircraft stand
out for their remarkable efficiency and long-range endurance. The path planning and …

This study presents a novel safe landing algorithm for urban drone deliveries. The rapid
advancement of drone technology has given rise to various delivery services for everyday …

This paper is concerned with autonomous forest full coverage search using multiple micro
aerial vehicles (MAVs). Due to the complex and cluttered environment, ie, many obstacles …

This paper investigates the risk quantification for Unmanned Aircraft (UA) in urban
environments, focusing on the safety of ground people. An assessment methodology is …

This research presents an online path planner for Unmanned Aerial Vehicles (UAVs) that
can handle dynamic obstacles and UAV motion constraints, including maximum curvature …

Dynamic agents enclose an extensive range of ventities covering mobile robots,
autonomous vehicles, drones, unmanned aerial vehicles (UAVs), unmanned ground …