Elastic Rod

Elastic rod modeling focuses on understanding and predicting the behavior of slender, deformable objects under various forces and constraints. Current research emphasizes developing accurate and computationally efficient models, often employing discrete elastic rod methods coupled with techniques like Lagrangian mechanics or machine learning for control and simulation. These advancements are crucial for improving the design and control of robotic systems interacting with deformable objects, as well as for enhancing our understanding of biological systems like bacterial flagella and soft robotic locomotion. Applications range from autonomous manipulation of cables and ropes to the development of more sophisticated soft robots.