Designing efficient robot dynamic tactile feedback systems remains a great challenge, especially in disaster relief and human-computer interaction, because they need to provide timely tactile and visual data. Herein, a novel bioinspired electronic skin (e-skin) is proposed based on self-powered triboelectric sensor (TES) arrays and electrochromic device (ECD) arrays. Single-electrode TES arrays (TESA) are used to detect pressure distribution at the different positions of the robot. The ECD arrays (ECDs) are used as the real-time visualization window to provide feedback on the pressure distribution by the change in the color of the e-skin.The bioinspired e-skin arrayed system possesses a similar capability to Chameleon, displaying the pressure information on the contact surface between the robot and object in real-time via interactive color-changing capabilities, such as the location, degree, and distribution. Moreover, the proposed e-skin can be used as a feedback system for large-scale curved robot surfaces due to its flexibility, large-scale process, and excellent compatibility. Thus, the novel design, large-scale process, and self-powered advantages make it a good candidate to pave the way for developing human-robot interactions as robot dynamic tactile real-time feedback systems.

Wearable smart glove of gesture language provides a novel strategy for the hearing‐impaired people to commutate with the world. Current commercialized solutions of gesture language are limited by the full extent of human interaction beyond operation dexterity, sensory feedback, and the huge cost of fabrication. Herein, a low‐cost, high‐efficient gesture‐language‐recognition feedback system combined with the strain‐sensor arrays and machine‐learning technology is proposed. The strain‐sensor arrays integrated with 3D‐printed glove can extract both spatial and temporal information about the finger's movement. The smart glove achieves gesture‐language recognition using machine learning with an accuracy of over 99%. Integrating with multidimensional manipulation, visual feedback and artificial intelligence (AI)‐based gesture‐language recognition, the smart system can accurately recognize complex gestures and provide real‐time feedback to users. The smart glove system can not only provide an efficient way for hearing‐impaired persons to communicate with the outside world, but also benefit industries in multiple fields such as entertainment, home healthcare, sports training, and the medical industry.

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