arXiv:2606.19914v1 Announce Type: cross Abstract: Art has long stood as a pivotal expression of human creativity. Embodied artificial intelligence offers a route for generative models to participate in that creativity through physical action rather than disembodied digital content. In robotic music co-creation, it is challenging to connect semantic musical understanding with real-time and physically executable performance. We present Co-policy, a framework for human-robot musical co-creation that separates semantic intent grounding, constrained musical variation, and visuomotor execution. To g
The increasing sophistication of generative AI and advancements in robotic manipulation are enabling more complex and interactive human-robot collaboration in creative domains like music.
This development highlights the progression of AI from disembodied algorithms to physically embodied creative partners, impacting future human-AI interaction models and skill requirements.
The explicit separation of semantic understanding, musical variation, and visuomotor execution in a robotics framework demonstrates a more structured approach to complex real-time AI-robotic creative tasks.
- · AI developers
- · Robotics companies
- · Creative industries relying on AI assistance
- · Researchers in human-robot interaction
More sophisticated robotic systems will enter creative fields, enabling novel forms of artistic expression.
The integration of AI as a 'co-creator' could redefine intellectual property and authorship in artistic works.
This could lead to a societal re-evaluation of 'creativity' and intelligence, pushing boundaries of what non-human entities can achieve autonomously or collaboratively.
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Read at arXiv cs.AI