Soft robots' flexibility and compliance give them the potential to outperform traditional rigid-
bodied robots while performing multiple tasks in unexpectedly changing environments and …

Soft robotics is a rapidly evolving field where robots are fabricated using highly deformable
materials and usually follow a bioinspired design. Their high dexterity and safety make them …

From a functional standpoint, classic robots are not at all similar to biological systems. If
compared with rigid robots, animals' bodies look overly redundant, imprecise, and weak …

The robotics community has seen an exponential growth in the level of complexity of the
theoretical tools presented for the modeling of soft robotics devices. Different solutions have …

We propose a hybrid neural network (NN) and PDE approach for learning generalizable
PDE dynamics from motion observations. Many NN approaches learn an end-to-end model …

Nature and biological creatures are some of the main sources of inspiration for humans.
Engineers have aspired to emulate these natural systems. As rigid systems become …

Optimal transport is a long‐standing theory that has been studied in depth from both
theoretical and numerical point of views. Starting from the 50s this theory has also found a …

Robots are notoriously difficult to design because of complex interdependencies between
their physical structure, sensory and motor layouts, and behavior. Despite this, almost every …

Differentiable simulation is a promising toolkit for fast gradient-based policy optimization and
system identification. However, existing approaches to differentiable simulation have largely …

Nature evolves creatures with a high complexity of morphological and behavioral
intelligence, meanwhile computational methods lag in approaching that diversity and …