Soft robotics, characterized by compliant materials and embodied intelligence, has demonstrated significant potential across various engineering applications, from medical robotics to adaptive manufacturing systems. Computational modeling plays a pivotal role in understanding and harnessing the complex interactions inherent in soft robotic systems. This mini-symposium will showcase recent advances in computational techniques specifically tailored for modeling, simulation, and optimization of soft robotic structures and their dynamic behaviors. Key topics include numerical methods for large deformations, multiphysics modeling, dynamic simulation frameworks, control strategies, and integration of machine learning approaches. Drawing upon foundational contributions such as [1], the symposium aims to facilitate discussions that deepen the understanding of embodied intelligence through innovative computational strategies. The mini-symposium seeks to encourage interdisciplinary interaction, bridging communities from robotics to computational science, among others. REFERENCES [1] Mengaldo G, Renda F, Brunton SL, Bächer M, Calisti M, Duriez C, Chirikjian GS, Laschi C. A concise guide to modelling the physics of embodied intelligence in soft robotics. Nature Reviews Physics. 2022 Sep;4(9):595-610.