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 …

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

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

In maritime search and rescue (SAR), the planning of the search path will directly affect the
efficiency of searching for people overboard in the search area. However, traditional SAR …

This paper presents algorithmic solutions for the complete coverage path planning problem
using a team of mobile robots. Multiple robots decrease the time to complete the coverage …

A vacuum cleaner robot, generally called a robovac, is an autonomous robot that is
controlled by intelligent program. Autonomous vacuum cleaning robot will perform task like …

The field of robotics has received significant attention in our society due to the extensive use
of robotic manipulators; however, recent advances in the research on autonomous vehicles …

There are many constraints for a multirobot system to perform a region coverage search task
in an unknown environment. To address this, we propose a novel multirobot distributed …

Coverage control is an essential technique in many autonomous multi-sensor systems, and
how to realize efficient coverage control with mobile anisotropic sensors receives wide …

In this paper, the idea of persistent coverage to be accomplished by multiple agents while
avoiding collisions is considered and developed. The persistent coverage problem is …