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 …

Soft robots have garnered interest for real-world applications because of their intrinsic safety
embedded at the material level. These robots use deformable materials capable of shape …

The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

Much of recent machine learning has focused on deep learning, in which neural network
weights are trained through variants of stochastic gradient descent. An alternative approach …

Soft robots have recently attracted increased attention because their characteristics of low‐
cost fabrication, durability, and deformability make them uniquely suited for applications in …

The intertwined processes of learning and evolution in complex environmental niches have
resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal …

All living systems perpetuate themselves via growth in or on the body, followed by splitting,
budding, or birth. We find that synthetic multicellular assemblies can also replicate …

Embodied intelligence (intelligence that requires and leverages a physical body) is a well-
known paradigm in soft robotics, but its mathematical description and consequent …

Soft robotics is a growing area of research which utilizes the compliance and adaptability of
soft structures to develop highly adaptive robotics for soft interactions. One area in which soft …

Reinforcement learning is typically concerned with learning control policies tailored to a
particular agent. We investigate whether there exists a single global policy that can …