Towards explainability in robotics: A performance analysis of a cloud accountability system
Assessment outcome
total 1/4 (actionability 0 + authority 1); currency unscored, so pro-rated to 1.5/6
Authorship & scope
Multiple named human authors and their academic affiliations are explicitly provided at the beginning.
Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
HTTP 200, 11195 words of full text extracted
The article is explicitly about AI systems, specifically focusing on explainability and accountability in autonomous robots.
The source addresses auditing, traceability, accountability rules, and safety standards for robotic systems.
Multiple named human authors and their academic affiliations are explicitly provided at the beginning.
There is no evidence on the page indicating that this published research article has been superseded or retracted.
Scored criteria
Actionability
0/2Score 0: Description or analysis only, examining the impact of a custom log engine without prescribing binding steps.
This study examines the impact on the robot system of a custom log engine based on a custom ROS log- ging node and investigates pros and cons when used together with a NoSQL data- base locally and in a cloud environment.
Authority
1/2Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
ORIGINAL ARTICLE Towards explainability in robotics: A performance analysis of a cloud accountability system Francisco Javier Rodríguez-Lera 1,2 | Miguel /C19Angel González-Santamarta1 | /C19Angel Manuel Guerrero-Higueras 1 | Francisco Martín-Rico 2 | Vicente Matellán-Olivera3
Currency
—computed: no publish/modified date found on the page (never guessed)