Taxonomy-aware Dynamic Motion Generation on Hyperbolic Manifolds

ArXi:2509.21281v2 Announce Type: replace-cross Human-like motion generation for robots often draws inspiration from biomechanical studies, which often categorize complex human motions into hierarchical taxonomies. While these taxonomies provide rich structural information about how movements relate to one another, this information is frequently overlooked in motion generation models, leading to a disconnect between the generated motions and their underlying hierarchical structure. This paper.