From the 1 of 6 linked papers with an AI index.
2 citations · 2 across the 3 of their papers we have counts for
6 papers
Assessing Physical Frailty and Fall-Risk Indicators with Social Robots: An in situ Evaluation with Older Adults
Aniol Civit, Antonio Andriella, Alba MartÃnez +4
The paper presents a social robot system that guides older adults through standard frailty and fall‑risk tests, using vision‑based skeleton tracking to automatically record clinica…
Temporal Counterfactual Explanations of Behaviour Tree Decisions
Tamlin Love, Antonio Andriella, Guillem AlenyÃ
Explainability, in particular, the ability for robots to explain why they have made a decision or behaved in a certain way, is a critical tool in helping users understand the robot…
From User Preferences to Base Score Extraction Functions in Gradual Argumentation (with Appendix)
Aniol Civit, Antonio Rago, Antonio Andriella +2
Gradual argumentation is a field of symbolic AI which is attracting attention for its ability to support transparent and contestable AI systems. It is considered a useful tool in d…
Ontological grounding for sound and natural robot explanations via large language models
Alberto Olivares-Alarcos, Muhammad Ahsan, Satrio Sanjaya +2
Building effective human-robot interaction requires robots to derive conclusions from their experiences that are both logically sound and communicated in ways aligned with human ex…
Multi-User Personalisation in Human-Robot Interaction: Resolving Preference Conflicts Using Gradual Argumentation
Aniol Civit, Antonio Andriella, Carles Sierra +1
While personalisation in Human-Robot Interaction (HRI) has advanced significantly, most existing approaches focus on single-user adaptation, overlooking scenarios involving multipl…
HEXAR: a Hierarchical Explainability Architecture for Robots
Tamlin Love, Ferran GebellÃ, Pradip Pramanick +5
As robotic systems become increasingly complex, the need for explainable decision-making becomes critical. Existing explainability approaches in robotics typically either focus on…