I. Introduction
Since the beginning of research in the field of soft robotics, many researchers have contributed in the development of mathematical modeling approaches that could be able to describe the kinematics and dynamics of such infinite degrees of freedom robots. However, addressing the requirements imposed by robotic applications is still a challenge [1], [2]. In order to meet the standards achieved in traditional rigid robotics, a model for soft robotics should be, at the same time, computational inexpensive and sufficiently accurate. It should be able to shed light on the mathematical submodels, encompass them in a unified framework, and provide a systematic modeling procedure, regardless of the specific application. Such a modeling framework is the necessary condition for developing the physical designs and control architectures of these new soft robots as well as their task-related motions and path planning.