ArticleFrontiers in robotics and AI2025
From text to motion: grounding GPT-4 in a humanoid robot "Alter3".
Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Evolvable AI: Threats of a new major transition in evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Perceived human-robot relational structures: a pictogram-based questionnaire to assess ideal and assumed relationships.Scientific reports · 2026Article
- Streamlining Human-Robot Interaction: Integrating LLM-Based Planning into Modular Robotic Frameworks.Sensors (Basel, Switzerland) · 2026Article
- Aidification of the self: a phenomenological approach to machine consciousness through human-robot 'between-ness'.Neuroscience of consciousness · 2026Article
- Spontaneous Emergence of Agent Individuality Through Social Interactions in Large Language Model-Based Communities.Entropy (Basel, Switzerland) · 2024Article
- Evaluation of co-speech gestures grounded in word-distributed representation.Frontiers in robotics and AI · 2024Article
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Authors and funding
3 authors.
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Abstract
This paper introduces Alter3, a humanoid robot that demonstrates spontaneous motion generation through the integration of GPT-4, a cutting-edge Large Language Model (LLM). This integration overcomes the challenge of applying LLMs to direct robot control, which typically struggles with the hardware-specific nuances of robotic operation. By translating linguistic descriptions of human actions into robotic movements via programming, Alter3 can autonomously perform a diverse range of actions, such as adopting a "selfie" pose or simulating a "ghost." This approach not only shows Alter3's few-shot learning capabilities but also its adaptability to verbal feedback for pose adjustments without manual fine-tuning. This research advances the field of humanoid robotics by bridging linguistic concepts with physical embodiment and opens new avenues for exploring spontaneity in humanoid robots.
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Registered trials
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