{"ID":2839857,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.17603","arxiv_id":"2511.17603","title":"Translating Cultural Choreography from Humanoid Forms to Robotic Arm","abstract":"Robotic arm choreography often reproduces trajectories while missing cultural semantics. This study examines whether symbolic posture transfer with joint space compatible notation can preserve semantic fidelity on a six-degree-of-freedom arm and remain portable across morphologies. We implement ROPERA, a three-stage pipeline for encoding culturally codified postures, composing symbolic sequences, and decoding to servo commands. A scene from Kunqu opera, \\textit{The Peony Pavilion}, serves as the material for evaluation. The procedure includes corpus-based posture selection, symbolic scoring, direct joint angle execution, and a visual layer with light painting and costume-informed colors. Results indicate reproducible execution with intended timing and cultural legibility reported by experts and audiences. The study points to non-anthropocentric cultural preservation and portable authoring workflows. Future work will design dance-informed transition profiles, extend the notation to locomotion with haptic, musical, and spatial cues, and test portability across platforms.","short_abstract":"Robotic arm choreography often reproduces trajectories while missing cultural semantics. This study examines whether symbolic posture transfer with joint space compatible notation can preserve semantic fidelity on a six-degree-of-freedom arm and remain portable across morphologies. We implement ROPERA, a three-stage pi...","url_abs":"https://arxiv.org/abs/2511.17603","url_pdf":"https://arxiv.org/pdf/2511.17603v1","authors":"[\"Chelsea-Xi Chen\",\"Zhe Zhang\",\"Aven-Le Zhou\"]","published":"2025-11-18T05:20:05Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.HC\"]","methods":"[]","has_code":false}