Papers
3
Total Citations
9
H-Index
2
About
Tamlin Love is a pioneering researcher in human-robot interaction (HRI), specializing in explainable artificial intelligence (XAI) for autonomous social robots. Their work focuses on enabling robots to navigate unstructured public spaces by understanding complex social dynamics—such as inter-person group formations and human-robot engagement—while making proactive, context-aware decisions. Love’s key contribution lies in developing real-time explanation frameworks that allow robots to articulate their decision-making processes to humans, fostering trust and transparency in dynamic environments. Their most cited paper (5 citations) introduces explainable proactive robot interactions for groups, addressing how robots can autonomously decide whom to approach and why. A subsequent work (2 citations) extends this to real-time explanations “in the wild,” demonstrating practical deployment in unpredictable settings. Love’s latest research (2025) explores temporal counterfactual explanations for behaviour tree decisions, enabling robots to explain alternative actions they could have taken. With a growing citation impact and a focus on bridging technical AI with human-centered design, Love’s work is shaping the future of socially intelligent robots that are not only capable but also comprehensible—a critical step toward widespread human-robot coexistence.
Research Focus
Key Achievements
Top Papers
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- 3Temporal Counterfactual Explanations of Behaviour Tree Decisions2 citations · 2025