Tamlin Love

According to our database, Tamlin Love authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

HEXAR: a Hierarchical Explainability Architecture for Robots.

Tamlin Love, Ferran Gebellí, Pradip Pramanick, Antonio Andriella, Guillem Alenyà, Anais Garrell, Raquel Ros, Silvia Rossi

CoRR, January, 2026

When to Explain: Field Study Insights on Robot Failure Explanations for Older Adults.

Tamlin Love, Víctor Bermejo, Alberto Olivares Alarcos, Antonio Andriella, Núria Vallès-Peris, Cristian Barrué, Guillem Alenyà

Proceedings of the Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

Causal Explanations for Robot Decisions and Beliefs.

Tamlin Love, Antonio Andriella, Guillem Alenyà

Proceedings of the Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, 2026

2025

Temporal Counterfactual Explanations of Behaviour Tree Decisions.

Tamlin Love, Antonio Andriella, Guillem Alenyà

CoRR, September, 2025

Strengthening Robotics and Automation in Africa: Highlights of ICRA@40-Africa [Education].

Ndivhuwo Makondo, Paul Amayo, Jenalea Rajab, Lifhasi Ramulondi, Steven James, Alexandra Barry, Adam Mukuddem, Thabisa Maweni, Tamlin Love, Geraud Nangue Tasse, Zimkhitha Sijovu, Belinda Matebese, Benjamin Rosman

IEEE Robotics Autom. Mag., June, 2025

2024

Personalising explanations and explaining personalisation (short paper).

Tamlin Love, Antonio Andriella, Guillem Alenyà

Proceedings of ALTRUIST Workshop on sociAL roboTs for peRsonalized, 2024

What Would I Do If...? Promoting Understanding in HRI through Real-Time Explanations in the Wild.

Tamlin Love, Antonio Andriella, Guillem Alenyà

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Towards Explainable Proactive Robot Interactions for Groups of People in Unstructured Environments.

Tamlin Love, Antonio Andriella, Guillem Alenyà

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Who should I trust? Cautiously learning with unreliable experts.

Tamlin Love, Ritesh Ajoodha, Benjamin Rosman

Neural Comput. Appl., August, 2023

ROSARL: Reward-Only Safe Reinforcement Learning.

Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman

CoRR, 2023