Embodied Generative AI Art for Enhanced Human-Robot Interaction Through a Human-Centric LLM-Guided Robotic Arm Drawing System

  • Shengyuan Xie
  • , Eduardo Benitez Sandoval
  • , Khaja Ahmed Shaik
  • , Francisco Cruz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Generative AI is transforming the way humans interact with robots by integrating language-driven comprehension with embodied execution. While recent research leveraging large language models (LLMs) to enhance communication between humans and machines has shown significant progress, the exploration of integrating LLMs with robots to assist users in creating real-world artistic works remains challenging. This research introduces a novel GENAI-driven intelligent robotic arm drawing system. We fine-tuned GPT-3.5 Turbo to better capture meaningful information from conversations with users and output precise drawing commands, which are directly fed into the fine-tuned Stable Diffusion model to generate desired images. A UFactory xArm equipped with an end-effector holding a drawing pen is deployed and controlled by a speed control algorithm to perform accurate drawing movements based on AI-generated images. Our proposed framework facilitates enhanced HRI experiences with a focus on drawing tasks, effectively embodying the capabilities of generative AI in the field of artistic creation and enabling users to engage deeply in the process of using AI for art creation in real-world environments.

Idioma originalInglés
Título de la publicación alojadaHRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction
EditorialIEEE Computer Society
Páginas1727-1730
Número de páginas4
ISBN (versión digital)9798350378931
DOI
EstadoPublicada - 2025
Evento20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 - Melbourne, Australia
Duración: 4 mar. 20256 mar. 2025

Serie de la publicación

NombreACM/IEEE International Conference on Human-Robot Interaction
ISSN (versión digital)2167-2148

Conferencia

Conferencia20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025
País/TerritorioAustralia
CiudadMelbourne
Período4/03/256/03/25

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