Creative physical AI

Do robots need creativity in problem solving? Physical AI is a type of AI that enables robots to perceive and interact with a physical world. Early physical AI models follow the sense-plan-act framework where robots make decisions dominantly based on sensed information. While sensing is crucial for understanding the current physical environments, this paradigm of physical AI is fundamentally limited to support general tasks where humans solve problems creatively based on not only what they can observe now but also various predictions of the unseen spatiotemporal and social contexts, that is, seeing around corners. This talk illustrates why robots without creativity can fail to fulfill even simple goals and how creative physical AI is being developed.

If equipped with creative physical AI, can such robots promote human creativity as in creating arts? Generative AI has brought numerous types of convenience in the digital art world. To create artifacts in the real world, creative physical AI is needed, for instance, to preserve traditional craftsmanship such as wood carving or claymation, which faces declining participation due to its labor-intensive nature. More broadly, innovations in creative physical AI aim to encourage people to participate in more creative activities such as educational and therapeutic art sessions. The audience is invited to think about how technologies can be used to promote human creativity for the next generation.

Speakers:
Jean Oh
Associate Research Professor and Director of roBot Intelligence Group (BIG), Robotics Institute, Carnegie Mellon University

Moderators:
Guillem Martínez Roura
AI and Robotics Programme Officer, International Telecommunication Union (ITU)


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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.