Publications

In this paper, we propose a novel distributed multirobot exploration algorithm capable of efficiently exploring unknown environments while ensuring uninterrupted communication with each other and with a base station, including multihop scenarios when direct communication is not feasible. The system…

This paper introduces a distributed multi-robot exploration system that combines bio-inspired flocking dynamics with machine learning-powered connectivity prediction to enable efficient unknown environment mapping while maintaining robust communication networks. Designed for emergency response…

Following the trend for the provision of applications over programmable resources distributed across the computing continuum, in this manuscript, we detail a novel meta-orchestration approach for management of such applications. Two main challenges are considered. The first challenge regards the…

The rapid growth of Internet of Things (IoT) devices and emerging technologies, along with the growing demands of edge-deployed applications, has led to a complex paradigm where computation often shifts dynamically acrooss the IoT-Edge-Cloud continuum. The NEPHELE project addresses these…

Applications in the Internet of Robotic Things (IoRT) add an additional layer of complexity over traditional robotics, namely, networking and communication with the edge and the cloud. The field of cloud robotics has already revolutionized robotic systems, among others, by offloading…

In this demonstration paper, we present the implementation of a virtualized Wireless Sensor Network (WSN) following a specific software stack called Virtual Object Stack (VOStack). This stack, proposed by the Horizon Europe (HE) NEPHELE project, promotes openness and interoperability in the Cloud-…

In the last decade, edge computing emerged as a paradigm allowing close-to-the-source processing. It brings multiple benefits for mission-critical applications especially that they cannot tolerate delays, downtime or failure. Particularly, in post-disaster management, where the network is scarce…

In light of the increasing impact of climate change, the demand for energy-efficient solutions across various sectors is becoming crucial. This paper explores the feasibility of utilizing Online Learning techniques to detect room occupancy in smart buildings, addressing the challenges of privacy…