Abstract Coverage Path Planning (CPP) is the task of determining a path that passes over all
points of an area or volume of interest while avoiding obstacles. This task is integral to many …

We present a novel method for planning coverage paths for inspecting complex structures
on the ocean floor using an autonomous underwater vehicle (AUV). Our method initially …

Coverage Path Planning (CPP) describes the process of generating robot trajectories that
fully cover an area or volume. Applications are, amongst many others, mobile cleaning …

Abstract The Complete Coverage Path Planning (CCPP) problem is a subfield of industrial
motion planning that has applications in various domains, ranging from mobile robotics to …

Online coverage planning can be useful in applications like field monitoring and search and
rescue. Without prior information of the environment, achieving resolution-complete …

For large-scale tasks, coverage path planning (CPP) can benefit greatly from multiple robots.
In this paper, we present an efficient algorithm MSTC∗ for multi-robot coverage path …

Area coverage with an onboard sensor is an important task for an unmanned aerial vehicle
(UAV) with many applications. Autonomous fixed-wing UAVs are more appropriate for larger …

In this paper, we present a new approach for maximizing the coverage path planning while
minimizing the path length of an aerial robot in agriculture environment with concave …

This letter tackles the problem of energy-efficient coverage path planning for exploring
general surfaces by an autonomous vehicle. Efficient algorithms are developed to generate …

Coverage path planning on a complex free-form surface is a representative problem that has
been steadily investigated in path planning and automatic control. However, most methods …