4 accepted papers
In this work, we propose a dynamic model neural implicit embedded controller (called NEC) for high-precision tracking control of dielectric elastomer actuators (DEAs) by eliminating the rate-dependent viscoelasticity and mechanical vibration. To this end, we first establish a lumped parameter model
Due to the existence of residual charges, electroadhesion usually suffers from slow de-electroadhesion (in the range of several minutes to hours), significantly limiting its application in handling lightweight objects. To date, mechanical push or vibration is the main solution to achieve rapid de-el
Most of the existing soft locomotive robots are capable of moving on horizontal planes and small-angled slopes, but few of them can accomplish the large-angled slope climbing or wall climbing. We introduce an inchworm inspired soft crawling-climbing robot capable of continuous motion from a horizont…
Dielectric elastomer actuators have shown promising applications in the field of soft robotics. However, due to their rate-dependent viscoelastic hysteresis nonlinearity, it is still challenging to achieve precision tracking control of dielectric elastomer actuators. In this letter, we propose a fee