In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

Abstract Purpose of Review The era of robotics-based environmental monitoring has given
rise to many interesting areas of research. A key challenge is that robotic platforms and their …

When a natural or human disaster occurs, time is critical and often of vital importance. Data
from the incident area containing the information to guide search and rescue (SAR) …

Advances in the field of unmanned aerial vehicles (UAVs) have led to an exponential
increase in their market, thanks to the development of innovative technological solutions …

Multi-robot systems are widely used in environmental exploration and modeling, especially
in hazardous environments. However, different types of robots are limited by different …

A fundamental problem of every intermittently-powered sensing system is that signals
acquired by these systems over a longer period in time are also intermittent. As a …

Abstract A Reconfigurable Modular Robotic System (RMRS) consists of multiple
interconnected robots and can achieve various functionalities by rearranging its modular …

In this paper, we present an online adaptive planning strategy for a team of robots with
heterogeneous sensors to sample from a latent spatial field using a learned model for …

With the continuous innovation in manufacturing, Unmanned Aerial Vehicles (UAVs) have
gradually become commodities from just professional equipment. As a universal type …

We consider the problem of multi-robot sensor coverage, which deals with deploying a multi-
robot team in an environment and optimizing the sensing quality of the overall environment …