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However, existing platforms struggle to balance miniaturization, multidegree\u2010of\u2010freedom flexibility, and rapid in\u2009situ reconfiguration for different tasks. To address these challenges, Grassmann Line\u2010Guided Magneto\u2010Operative Robotics is proposed, a systematic design framework that synergizes Grassmann line geometry with modular magnetic spherical joint connections to enable rapid in\u2009situ topology changes. A synthesis\u2010based method is employed to guide the assembly strategy design flow for a specific magneto\u2010connected parallel robot. The magneto\u2010coupled modules enable in\u2009situ minute\u2010level (average 48\u2009s) reconfiguration across multiple types of centimeter\u2010scale magneto\u2010reconfigurable parallel robots, all sharing a common driving system and featuring a base diameter of 3.2\u2009cm. As a case study, a widely used 3\u2010P(4S) robot system is fully analyzed. The regular workspace, considering the influence of magnetic connections and the global transmission index, is evaluated to assess the performance of different design parameters. Then, the payload experiment is conducted. Bench\u2010top positioning, bench\u2010top manipulation, and laparoscopic manipulation potentials are demonstrated. Overall, the proposed library and design methodology, utilizing magneto\u2010connected parts, enable the rapid prototyping of reconfigurable, modular parallel robots.<\/jats:p>","DOI":"10.1002\/aisy.202500529","type":"journal-article","created":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T17:15:51Z","timestamp":1755018951000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Centimeter\u2010Scale Magneto\u2010Reconfigurable Parallel Robots: A Grassmann Line Geometry Synthesis Framework for Multitask Adaptation Using Magneto\u2010Connected Part Library"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6899-3757","authenticated-orcid":false,"given":"Yunong","family":"Li","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering The Chinese University of Hong Kong  Sha Tin, N.T. 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