There has been an increasing interest in researching, developing and deploying multi-robot
systems. This has been driven mainly by: the maturity of the practical deployment of a single …

Wheeled mobile robots (WMRs) have been a focus of research for several decades,
particularly concerning navigation strategies in static and dynamic environments. This …

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 …

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 …

Multiple robots collaboratively achieve a common coverage goal efficiently, which can
improve work capacity, share coverage tasks, and reduce completion time. In this paper, a …

This chapter describes a series of works developed in order to integrate ROS-based robots
with Unity-based virtual reality interfaces. The main goal of this integration is to develop …

Collaborative coverage for target search using a group of unmanned aerial vehicles (UAVs)
has received increasing attention in recent years. However, the design of distributed control …

Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing
CCPP is particularly significant in precision agriculture, where it enhances resource …

This research work presents the development of a novel tetris inspired reconfigurable floor
cleaning robot-hTetro, utilizing the hinged dissection theory of polyominoes. The developed …

This paper introduces a multi-AUV target search method founded on dynamic optimization
coverage, aiming to plan paths that achieve complete coverage without backtracking and …