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.
Authors
- Carlos Á. Iglesias (ORCID: https://orcid.org/0000-0002-1755-2712)
- Sergio Muñoz (ORCID: https://orcid.org/0000-0002-2070-8976)
- Álvaro Carrera (ORCID: https://orcid.org/0000-0002-0319-036X)
- Óscar Araque (ORCID: https://orcid.org/0000-0003-3224-0001)
- José L. Benítez (ORCID: https://orcid.org/0009-0002-7185-7135)
Institutions
- Universidad Politécnica de Madrid (ES)
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