The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …

Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

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 …

Swarm of drones, as an intensely significant category of swarm robots, is widely used in
various fields, eg, search and rescue, detection missions, military, etc. Because of the …

In this article, we consider the computational and communication challenges of partially
observable multiagent sequential decision-making problems. We present algorithms that …

Warehouse commissioning is a complex task in which a team of robots needs to gather and
deliver items as fast and efficiently as possible while adhering to the constraint capacity of …

This study explores the application of swarm robotics and swarm and evolutionary
computing techniques in envi-ronmental management and sustainability, a highly specific …

Surveillance is an interesting application for Unmanned Aerial Vehicles (UAVs). If a team of
UAVs is considered, the objective is usually to act cooperatively to gather as much …

We introduce a principled method for multi-robot coordination based on a general model
(termed a MacDec-POMDP) of multi-robot cooperative planning in the presence of …

The highlight of this paper is to propose an innovative method for solving the problem of
path planning and synchronization of robot pairs in a known static and complex …