Kinetiq Engine: Hybrid Generative Motion Synthesis via Ecological Interaction Data

While generative motion models can synthesize human movement from text, they consistently underperform in production environments due to physics failures (the "Gelatin Problem"). This paper introduces Kinetiq Engine, a browser-native hybrid synthesis system. We deviate from standard approaches by training on Ecological Interaction Data derived from persistent virtual worlds and employing a WebAssembly refinement pipeline that enforces skeletal physics constraints client-side. Kinetiq demonstrates that high-fidelity motion refinement can run at 60 FPS in a standard web browser without asset leakage.