most citedTemporal Counterfactual Explanations of Behaviour Tree Decisions

2 citations · 3 across the 6 of their papers we have counts for

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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

Frailty assessments are crucial to evaluate the risk of adverse events and the health and social care needs of older adults, yet their administration remains resource-intensive and…

cs.RO2026

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…

cs.RO2026★ 1 cited

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…

cs.RO2025

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.RO2025★ 2 cited

Temporal Counterfactual Explanations of Behaviour Tree Decisions

Tamlin Love, Antonio Andriella, Guillem Alenyà

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…