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20182026
most citedRMQFMU: Bridging the Real World with Co-simulation Technical Report

3 citations · 9 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Human-in-the-Loop Uncertainty Analysis in Self-Adaptive Robots Using LLMs

Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri +2

Self-adaptive robots operate in dynamic, unpredictable environments where unaddressed uncertainties can lead to safety violations and operational failures. However, systematically…

cs.RO2025★ 2 cited

A Case Study on the Application of Digital Twins for Enhancing CPS Operations

Irina Muntean, Mirgita Frasheri, Tiziano Munaro

To ensure the availability and reduce the downtime of complex cyber-physical systems across different domains, e.g., agriculture and manufacturing, fault tolerance mechanisms are i…

cs.RO2025★ 1 cited

Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models

Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri +2

Future self-adaptive robots are expected to operate in highly dynamic environments while effectively managing uncertainties. However, identifying the sources and impacts of uncerta…

cs.RO2024

Digital Twin Enabled Runtime Verification for Autonomous Mobile Robots under Uncertainty

Joakim Schack Betzer, Jalil Boudjadar, Mirgita Frasheri +1

As autonomous robots increasingly navigate complex and unpredictable environments, ensuring their reliable behavior under uncertainty becomes a critical challenge. This paper intro…

cs.RO2021★ 3 cited

RMQFMU: Bridging the Real World with Co-simulation Technical Report

Mirgita Frasheri, Henrik Ejersbo, Casper Thule +1

In this paper we present an experience report for the RMQFMU, a plug and play tool, that enables feeding data to/from an FMI2-based co-simulation environment based on the AMQP prot…