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 …

Perceiving and handling deformable objects is an integral part of everyday life for humans.
Automating tasks such as food handling, garment sorting, or assistive dressing requires …

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 …

Contact is ubiquitous and often unavoidable and yet modeling contacting systems continues
to stretch the limits of available computational tools. In part this is due to the unique hurdles …

The last five years marked a surge in interest for and use of smart robots, which operate in
dynamic and unstructured environments and might interact with humans. We posit that well …

The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …

The emerging field of soft robotics presents a new paradigm for robot design in which
“precision through rigidity” is replaced by “cognition through compliance.” Lightweight and …

Recent research in embodied AI has been boosted by the use of simulation environments to
develop and train robot learning approaches. However, the use of simulation has skewed …

In this paper, we present a new method for the control of soft robots with elastic behavior,
piloted by several actuators. The central contribution of this work is the use of the Finite …

In this paper we present a Deep Reinforcement Learning approach to solve dynamic cloth
manipulation tasks. Differing from the case of rigid objects, we stress that the followed …