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Pressure‐Perceptive Actuators for Tactile Soft Robots and Visual Logic Devices

Soft actuators with sensing capabilities are important in intelligent robots and human–computer interactions. However, present perceptive actuating systems rely on the integration of multiple functional units with complex circuit design. Here, a new‐type pressure‐perceptive actuator is reported, whi...

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Detalles Bibliográficos
Autores principales: Zhou, Peidi, Lin, Jian, Zhang, Wei, Luo, Zhiling, Chen, Luzhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844481/
https://www.ncbi.nlm.nih.gov/pubmed/34913616
http://dx.doi.org/10.1002/advs.202104270
Descripción
Sumario:Soft actuators with sensing capabilities are important in intelligent robots and human–computer interactions. However, present perceptive actuating systems rely on the integration of multiple functional units with complex circuit design. Here, a new‐type pressure‐perceptive actuator is reported, which integrates functions of sensing, actuating, and decision making at material level without complex combination. The actuator is composed of an actuating unit and a pressure‐sensing unit, both of which are fabricated by carbon nanotube (CNT), silk, and polymer composite. On the one hand, the actuating unit can be driven by low voltages (<13 V), owing to a Joule‐heating effect. On the other hand, the current passing the pressure‐sensing unit can be controlled by tactile pressure. In the integrated actuator, it is able to control the deformation amplitude of actuating unit by applying different pressures on the pressure‐sensing unit. A portable tactile‐activated gripper is fabricated to operate an object through pressure control, demonstrating its application in tactile soft robots. Finally, three visual logic gates (AND, OR, and NOT) are proposed, which convert “tactile” inputs into “visible” deformation outputs, using the CNT‐silk‐based material for sensing and actuating in the decision‐making process. This study provides a new path for intelligent soft robots and new‐generation logic devices.