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This paper presents the integration of dance movements generated from a transformer-based diffusion model onto the HRP-4 humanoid robot using the open-source framework mc_rtc. We explore how AI-generated movements can facilitate meaningful collaboration between robots and artists and discuss the methodology for incorporating these movements into the robot’s control framework. Furthermore, we examine the artistic perspectives and user engagement that arise from this integration.

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Integrating Transformer-Based AI-Generated Dance Movements Into HRP-4 for Human-Robot Artistic Collaboration

  • 会议论文

  • 发表日期：

    2025年

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  • Hui-Ting Hong,
  • Chu-Yin Chen,
  • Abderrahmane Kheddar

摘要

This paper presents the integration of dance movements generated from a transformer-based diffusion model onto the HRP-4 humanoid robot using the open-source framework mc_rtc. We explore how AI-generated movements can facilitate meaningful collaboration between robots and artists and discuss the methodology for incorporating these movements into the robot’s control framework. Furthermore, we examine the artistic perspectives and user engagement that arise from this integration.