SLAMI-GO paper uses QTrobot as a social robot for personalized language coaching

Evidence notes

• The SLAMI-GO paper presents a multimodal large-language-model system for personalised second-language speaking practice.
• The system uses QTrobot as the physical social-robot embodiment for multimodal coaching interactions.
• The research combines speech, visual and interaction signals to adapt language-practice feedback to the learner.