Lai, Wei-ChihWei-ChihLaiLin, Po-TingPo-TingLinKUAN-LUN HSU2026-01-152026-01-1520259780791889251https://www.scopus.com/record/display.uri?eid=2-s2.0-105024069157&origin=resultslisthttps://scholars.lib.ntu.edu.tw/handle/123456789/735319This paper presents a planar mechanism synthesis approach based on genetic algorithms, which decomposes the mechanism into three design features: joint positions, joint constraints, and linkage generation. To ensure the availability of the generated mechanisms, two feasibility checks are implemented. To increase the diversity of input joint types, this paper introduces gear joints in addition to revolute and prismatic joints as options for input joints. Finally, all types of input joints, input links, and second-order, second-class modules are categorized. This paper introduces the automatic modular analysis method, which automatically decomposes complex mechanisms into input links and several second-order, second-class modules for kinematic analysis. This method overcomes the computational challenges associated with traditional kinematic analysis when dealing with complex mechanisms. Finally, two examples are presented to demonstrate that this method not only generates simplified configurations while satisfying target trajectories but also enables to create novel mechanisms under unknown configurations, thereby disrupting existing design conventions. In conclusion, integrating genetic algorithms with the automated modular analysis process enables the transformation of mechanism generation, analysis, and optimization into a highly efficient and automated procedure.falsegenetic algorithmkinematic synthesismodular analysisconference paper10.1115/DETC2025-1675892-s2.0-105024069157