e-skins beats human touch with CNT-based structured capacitors

e-skins beats human touch with CNT-based structured capacitors

Technology News |
By eeNews Europe

Getting their inspiration from the biological structure of actual human skin, the researchers embedded a grid of molded square carbon nanotube (CNT) pyramids into a polyurethane (PU) matrix to form the top electrodes of an array of capacitors. The bottom electrodes were also lined up with CNTs, forming a two-dimensional array of molded hills which mimicked the spinosum layer in human skin. These two electrode layers separated by a thin-film dielectric layer allowed the formation of conformable multi-pixel capacitors (a 5×5 top grid centred over each bottom hill) whose electrical response is highly dependent on the skin’s deformations under external pressure.

The spinosum (left) is a layer found between the dermis and the epidermis, forming interlocked microstructures (hills) responsible for tactile signal amplification. Because of the 3D structure of the spinosum, the hills concentrate forces onto the mechanoreceptors differently depending on the direction of applied force. On the soft biomimetic e-skin (right), CNT electrodes (black) embedded in elastomer (blue) are separated by a thin-film dielectric layer (gray). Bottom and top electrodes are aligned so as to form an array of capacitors, with each hill corresponding to 25 capacitors.

The e-skin’s configuration is such that for each hill about 1mm in diameter and 200μm high corresponds 25 tiny capacitors each only 90μm2 in size, with one capacitor precisely located at the top of the hill, four on the slopes, four on the “corners” and 16 surrounding the hill. This high density of mechanoreceptor-like sensors ensured the e-skin would respond differently depending on the pressure’s direction or even based on drag deformation, being able to measure and discriminate in real time between normal and shear forces.

Cross-sectional views of a five-by-five capacitors e-skin (centred around one hill) to which various forces are applied. The forces can be characterized by measuring the pressure response map (relative changes in capacitance across the 25 capacitors).

In various experiments including one with robot fingers grabbing a delicate raspberry, the researchers were able to establish a capacitance map around each hill, which allowed them to differentiate several types of applied forces with a response time in the order of the microsecond, adapting its grip force to the detection of shear forces (to adjust against slip).

“It is possible, by looking back at a recorded signal, to evaluate the nature of an unknown stimulus based on the combination of amplitude, shape, and frequency of the signal by referring to a previously known library of stimuli response curves”, the authors report.

The e-skin reported in the paper was sensitive enough to detect small weights of 15mg (a pressure under 0.5kPa) corresponding to the handling of a small 1mm diameter plastic bead.

The 3D hill structure allows for different deflection
capabilities on the top and around of the hills, thus
differentiating capacitive responses to a pressure
event from different directions. Black lines are side
views of electrodes.

The sensor was designed to work in a range up to a maximum of 100 kPa, a little higher than the typical human touch–sensitive range (circa 10 kPa), which would make it robust enough for robotic applications in the case of high-pressure events. The researchers also demonstrated their pixelated hilly capacitor structure with a nine-by-nine sensor array, noting that due to the stretchability of the polyurethane membrane, a force detected on a localized area had limited effect on nearby pixels, providing accurate texture information.

The authors also improved the e-skin’s overall sensitivity by spatially distributing the tiny pyramids of the top electrodes following a bioinspired pattern, namely phyllotaxis spirals (an example is the spirals formed by the densely clustered florets of a sunflower).

The researchers anticipate such e-skin could be integrated in many robotic applications, including personalized domestic help, ambulatory and inpatient health care, medical diagnosis, the surgery, industry, and exploratory missions in hard-to-reach places.

Stanford University –

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