Recent advances in the design and implementation of wearable resistive, capacitive, and
optical strain sensors are summarized herein. Wearable and stretchable strain sensors have …

Discovery of fundamental principles which govern and limit effective locomotion (self-
propulsion) is of intellectual interest and practical importance. Human technology has …

Simulation-based reinforcement learning approaches are leading the next innovations in
legged robot control. However, the resulting control policies are still not applicable on soft …

Untethered small-scale (from several millimetres down to a few micrometres in all
dimensions) robots that can non-invasively access confined, enclosed spaces may enable …

Inspired by the relatively simple morphological blueprint provided by batoid fish such as
stingrays and skates, we created a biohybrid system that enables an artificial animal—a …

This review focuses on how the modeling of dense granular media has advanced over the
last 15 years. The jum**-off point of our review is the μ (I) rheology for dry granular flow …

Understanding the response of granular matter to intrusion of solid objects is key to
modelling many aspects of behaviour of granular matter, including plastic flow. Here we …

Robot locomotion is typically generated by coordinated integration of single-purpose
components, like actuators, sensors, body segments, and limbs. We posit that certain future …

In the evolutionary transition from an aquatic to a terrestrial environment, early tetrapods
faced the challenges of terrestrial locomotion on flowable substrates, such as sand and mud …

Granular intrusions, such as dynamic impact or wheel locomotion, are complex multiphase
phenomena where the grains exhibit solid-like and fluid-like characteristics together with an …