Somatic-AI Lab is an independent research and editorial platform founded by Hanna Zhu. It studies what changes when artificial intelligence encounters the lived, sensing and expressive body.
Somatic-AI Lab connects somatic practice, movement computing, embodied intelligence and generative systems. Its public library includes research scans, long-form analysis, cross-domain synthesis, practitioner guides and source-verified profiles.
Research focus
The lab asks how AI systems can engage movement as more than coordinates or visual appearance: as felt effort, timing, intention, relation and meaning. Core topics include human motion generation, somatic knowledge, human–AI co-creation, generative video and embodied interaction.
Publishing method
Articles are developed through an AI-assisted research workflow and published under human editorial direction. Time-sensitive pieces distinguish peer-reviewed work, conference papers, preprints and official releases; long-form articles include references and label speculative connections where appropriate. Read the full editorial and evidence policy.
Founder and accountability
Hanna Zhu is a Melbourne-based practice-led PhD researcher, founder and artist working across Somatic AI, embodied movement and generative visual storytelling. She founded Somatic-AI Lab and is responsible for its editorial direction and public release decisions.
Somatic-AI Lab is an independent platform. It does not present itself as a university department, peer-reviewed journal or medical authority. Readers should follow the cited primary sources when making academic, clinical or technical decisions.