Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

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 …

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 …

Autonomous exploration of subterranean environments remains a major challenge for
robotic systems. In response, this paper contributes a novel graph‐based subterranean …

The ability to plan informative paths online is essential to robot autonomy. In particular,
sampling-based approaches are often used as they are capable of using arbitrary …

This paper presents a novel path planning strategy for fast and agile exploration using aerial
robots. Tailored to the combined need for large-scale exploration of challenging and …

This paper presents a novel strategy for autonomous graph-based exploration path planning
in subterranean environments. Attuned to the fact that subterranean settings, such as …

Unmanned aerial vehicles represent a new frontier in a wide range of monitoring and
research applications. To fully leverage their potential, a key challenge is planning missions …

Unmanned aerial vehicle (UAV) path planning aims to find the optimal flight path from the
start point to the destination point for each aerial vehicle. With the rapid development of UAV …

Highlights•Autonomous ground and aerial vehicles can lead to improve agriculture
management.•A collaborative scheme based on a multi-phase approach is …