Researchers have devoted to developing a variety of soft robotic systems in the laboratory to take advantage of compliance introduced by soft materials. While being able to mimic natural systems and building compatible robots working together with humans, the challenge of lacking computational tools in design also dampens the development of soft robotics in industrial applications. Specifically, the design and control practices taken in soft robotics at present are mainly based on intuition and trial-and-error empirical tests. In this talk, I am going to introduce our recent work to overcome...