| 초록 |
Recent developments of biomimetic switchable and perceptive adhesive systems made of soft, stretchable materials for the manipulation and automation of various objects have been made. Switchable and perceptive adhesion regardless of the surface, size, and roughness object is still challenging in dry and aquatic surrounding. Here, we develop a electronically sensory soft adhesive device inspired by an octopus sucker for attaching, mechanosensory, and decision-making capabilities. The Artificial Octopus Sucker(AOS) may precisely control its robust attachment in dry/underwater environments, as well as rapid detachment upon deflation by soft adhesion actuator. The carbon nano tube based strain sensor with a three-dimensional structure formed to mimic nerves-like functions of an octopus in the AOS architecture does decision-making capabilities to predict the weight and center of gravity for samples with diverse shapes, sizes, and mechanical properties through machine learning. |
