Nadine
Nadine is a hyper-realistic humanoid social robot modeled after her creator, featuring 27 degrees of freedom for expressive facial and upper-body gestures. She combines multi-lingual conversational AI, memory recall, and emotion simulation to serve as an intuitive receptionist, companion, and research tool in human-robot interaction studies. Nadine operates continuously on AC power and integrates advanced perception systems, enabling real-time personality adaptation and natural interaction.
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Below images are from Nanyang Technological University (NTU), Singapore's official sources
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Nadine Social Robot Integrates Large Language Models 2026
Researchers at Nanyang Technological University in Singapore have integrated cutting-edge large language models into the Nadine social robot, marking a pivotal upgrade demonstrated in early 2026 trials at the University of Geneva's MIRALab. This enhancement equips Nadine with fluid, context-aware dialogue capabilities, revolutionizing human-robot exchanges in real-time settings. Building on her foundational role as a receptionist since her 2018 deployment at AIA Singapore, the LLM infusion disrupts traditional scripted interactions, enabling Nadine to handle complex queries with nuanced responses. Experts hail this as a breakthrough for deploying empathetic companions in offices and care facilities, where remembering past conversations now pairs with generative AI prowess for deeper engagement.
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Frequently Asked Questions
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Q1. What is Nadine, and what problem is it designed to solve?
Nadine is a humanoid social robot developed at Nanyang Technological University (NTU), Singapore, modeled after Professor Nadia Magnenat Thalmann. It is designed to provide companionship and assistive interactions for individuals with special needs, such as the elderly or those requiring social support.
Q2. What are the main capabilities and key features of Nadine?
Nadine features facial recognition, natural language processing in multiple languages, emotion simulation through gestures and expressions, and memory of prior interactions. Its architecture includes perception, processing, and interaction layers for context-aware responses.
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