The vast quantity of information brought by big data as well as the evolving computer
hardware encourages success stories in the machine learning community. In the …

This paper discusses the adaptive sampling problem in a nonholonomic mobile robotic
sensor network for efficiently monitoring a spatial field. It is proposed to employ Gaussian …

This paper presents a novel approach, using multi-step predictions, to the adaptive sampling
problem for efficient monitoring of environmental spatial phenomena in a mobile sensor …

As a fundamental problem, collision avoidance for multiple robots still need further
investigation, especially for many robots aggregating in a tight space. In this article, a laser …

In this paper, we focus on large-scale environment monitoring by utilizing a fully
decentralized team of mobile robots. The robots utilize the resource constrained …

Environmental monitoring allows authorities to understand the impact of potentially harmful
phenomena, such as air pollution, excessive noise and radiation. Recently, there has been …

Multi-agent systems (MAS) communicate over a wireless network to coordinate their actions
and to report their mission status. Connectivity and system-level performance can be …

Gaussian Process (GP) is a flexible non-parametric method which has a wide variety of
applications eg, field estimation using multi-agent systems. However, the training of the …

We propose a homing constrained bi-objective optimization variant of budget-limited
informative path planning for monitoring a spatio-temporal environment. The objective …

This paper addresses the design of hybrid free-space optical/radio frequency (FSO/RF)
systems for a high-altitude platform (HAP)-aided relaying satellite communication for mobile …