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20232026
most citedUsing Large Language Models for Interpreting Autonomous Robots Behaviors

9 citations · 20 across the 10 of their papers we have counts for

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Showing 2024Show all

4 papers · 1 filter

cs.RO2024★ 1 cited

Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction

David Sobrín-Hidalgo, Miguel Ángel González-Santamarta, Ángel Manuel Guerrero-Higueras +2

This paper presents an improved system based on our prior work, designed to create explanations for autonomous robot actions during Human-Robot Interaction (HRI). Previously, we de…

cs.RO2024

ROXIE: Defining a Robotic eXplanation and Interpretability Engine

Francisco J. Rodríguez-Lera, Miguel A. González-Santamarta, Alejandro González-Cantón +3

In an era where autonomous robots increasingly inhabit public spaces, the imperative for transparency and interpretability in their decision-making processes becomes paramount. Thi…

cs.RO2024

Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models

Laura Fernández-Becerra, Miguel Ángel González-Santamarta, Ángel Manuel Guerrero-Higueras +2

The deployment of autonomous agents in environments involving human interaction has increasingly raised security concerns. Consequently, understanding the circumstances behind an e…

cs.RO2024★ 4 cited

Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models

David Sobrín-Hidalgo, Miguel A. González-Santamarta, Ángel M. Guerrero-Higueras +2

This paper introduces a system designed to generate explanations for the actions performed by an autonomous robot in Human-Robot Interaction (HRI). Explainability in robotics, enca…