Semantic ethical glass box (SEGB): A knowledge graph–based framework for transparent robot behaviour analysis in social robotics

Scenarios involving Human-Robot Interaction are becoming increasingly prevalent across multiple domains. In such settings, reconstructing and explaining robots’ decisions and actions remain a complex and largely unsolved challenge. The Semantic Ethical Glass Box (SEGB) toolkit addresses this problem by providing an end-to-end software pipeline for the post-hoc analysis and auditing of robot behaviour. SEGB enables social robots to generate semantically structured logs that are integrated into a global Knowledge Graph (KG) system and later exploited for post-hoc analysis. To this end, SEGB provides software modules that support: (1) semantic log generation on robotic platforms, (2) safe log management and storage within the KG, and (3) automated report generation with enriched insights extracted from the KG.

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Publication Details

Journal
SoftwareX
Published
2026-06-30
DOI
https://doi.org/10.1016/j.softx.2026.102849
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
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article

Semantic ethical glass box (SEGB): A knowledge graph–based framework for transparent robot behaviour analysis in social robotics

Carlos Á. Iglesias, Sergio Muñoz, Álvaro Carrera, Óscar Araque et al.
SoftwareX
Social Robot Interaction and HRI
article

Semantic ethical glass box (SEGB): A knowledge graph–based framework for transparent robot behaviour analysis in social robotics

Carlos Á. Iglesias, Sergio Muñoz, Álvaro Carrera, Óscar Araque, José L. Benítez
article en

Abstract

Scenarios involving Human-Robot Interaction are becoming increasingly prevalent across multiple domains. In such settings, reconstructing and explaining robots’ decisions and actions remain a complex and largely unsolved challenge. The Semantic Ethical Glass Box (SEGB) toolkit addresses this problem by providing an end-to-end software pipeline for the post-hoc analysis and auditing of robot behaviour. SEGB enables social robots to generate semantically structured logs that are integrated into a global Knowledge Graph (KG) system and later exploited for post-hoc analysis. To this end, SEGB provides software modules that support: (1) semantic log generation on robotic platforms, (2) safe log management and storage within the KG, and (3) automated report generation with enriched insights extracted from the KG.

SoftwareXVol. 35
Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 6%
Social Robot Interaction and HRI
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