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From the 1 of 7 linked papers with an AI index.

most citedTemporal Counterfactual Explanations of Behaviour Tree Decisions

2 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Assessing Physical Frailty and Fall-Risk Indicators with Social Robots: An in situ Evaluation with Older Adults

Aniol Civit, Antonio Andriella, Alba Martínez +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…

cs.RO2026

Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction

Antonio Andriella, Jauwairia Nasir, Andrea Rezzani +7

While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolat…

cs.RO20262 cited

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…

cs.AI2026

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…

cs.RO2026

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…

cs.RO2026

HEXAR: a Hierarchical Explainability Architecture for Robots

Tamlin Love, Ferran Gebellí, 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…