SLIP-based Iterative Learning for Efficient and Compliant Locomotion of Articulated Soft Quadrupeds

Effectively controlling and exploiting the natural dynamics of Articulated Soft Robots for energy-efficient motions remains challenging. In literature, the problem is often split in two; in energy-efficient motion planning and structure-preserving control, where the focus is on one, and the other is largely disregarded. This work aims to unify...