Vision-based tactile sensing enhanced by microstructures and lightweight convolutional neural network
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Researchers have made advancements in vision-based tactile sensing, with various approaches being explored, including the use of microstructures and lightweight convolutional neural networks. These developments aim to enhance tactile sensing capabilities, with potential applications in areas such as human-machine interactions and robotic perception. The specific designs and techniques being investigated include fingertip-scale tactile interfaces, visually localized tactile mapping, and miniaturized 3D force sensors.
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