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 …

For the complete coverage path planning of autonomous underwater vehicles (AUVs), a
new strategy with Glasius bio-inspired neural network (GBNN) algorithm with discrete and …

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 …

Mobile robots can be used in many applications, such as carpet cleaning, search and
rescue, and exploration. Many studies have been devoted to the control, sensing, and …

Although several precedents have demonstrated the benefits of using floor cleaning robots
for the maintenance of constructed buildings, traditional platforms suffer from a series of …

This paper presents an algorithm for the complete coverage of free space by a team of
mobile robots. Our approach is based on a single robot coverage algorithm, which divides …

In the past decades, considerable attention has been paid to bio-inspired intelligence and its
applications to robotics. This paper provides a comprehensive survey of bio-inspired …