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Printing perovskite and graphene parallel structure-based optical-mechanical sensors for human-machine interaction
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作者 Sisi CHEN Jiemin ZHANG +8 位作者 Nan cheng Wenbo LI Jing LIU Hongfei XIE Jie ZHANG yueying cheng Xiaotong ZHAO Meng SU Yanlin SONG 《Science China(Technological Sciences)》 2025年第2期65-72,共8页
Surgical robots are designed to provide enhanced precision and dexterity compared to manual surgical procedures,which mainly rely on multimodal sensing technologies for the surgeon to seamlessly operate the robotic ar... Surgical robots are designed to provide enhanced precision and dexterity compared to manual surgical procedures,which mainly rely on multimodal sensing technologies for the surgeon to seamlessly operate the robotic arms and instruments.Compared with single-mode sensors,optical and mechanical bi-modal sensors provide improved precision,enhanced safety,and robustness of human-machine interaction systems.Here,the template-guided and pneumatic printing technologies are combined to construct perovskite and graphene parallel structures with both optical and mechanical sensing capabilities.The printed uniformly crystallized perovskite microstructure exhibits fast and sensitive photoelectric response characteristics,enabling shadow recognition functionality.The combination of graphene and elastic rubber endows the great printability to prepare parallel structures near the perovskite arrays for force sensing capabilities.Thus,the printed perovskite and graphene structures possess non-contact optical sensing capabilities to detect hand position by recognizing shadows between the hand and the sensor,as well as contact mechanical sensing capabilities to detect touch force applied by the hand.It provides a synergistic platform for real-time and multidimensional feedback to improve human-machine interaction. 展开更多
关键词 PRINTING PEROVSKITE GRAPHENE optical and mechanical sensors human-machine interaction
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