Project overview
AI‑enabled robots show promise for personalised learning, creative expression, and mental‑health‑support activities. As AI systems grow more powerful, the urgent challenge is ensuring these technologies are safe, developmentally appropriate, trustworthy, and aligned with children's lived experiences — not merely technically impressive.
Our research advances the vision of responsible child-robot interactions by:
1. Developing novel LLM-driven robot interaction pipelines for safe and inclusive child-robot interactions.
2. Longitudinal interactions to build an evidence‑based foundation for responsible design, grounded in children’s real experiences and developmental needs.
3. Developing new frameworks for data collection – by capturing multimodal interactions – and for evaluation – by enabling developmentally sensitive analysis of how children’s trust, autonomy, and creativity evolve.
Our research advances the vision of responsible child-robot interactions by:
1. Developing novel LLM-driven robot interaction pipelines for safe and inclusive child-robot interactions.
2. Longitudinal interactions to build an evidence‑based foundation for responsible design, grounded in children’s real experiences and developmental needs.
3. Developing new frameworks for data collection – by capturing multimodal interactions – and for evaluation – by enabling developmentally sensitive analysis of how children’s trust, autonomy, and creativity evolve.
