材料科学
弯曲
软机器人
人工智能
机器人学
电容感应
计算机科学
电容
感知
机器人
声学
电极
计算机视觉
主动感知
纳米技术
接近传感器
补偿(心理学)
光学(聚焦)
电场
图像分辨率
作者
Yulian Peng,Zelong Li,Junhua Zhang,Yueyang Wang,S Wang,Houping Wu,Hongbo Wang
摘要
Achieving human-level touch perception in robotics requires flexible sensors that combine a low detection limit, rapid response, robust reliability, and ease of fabrication. Yet, integrating these diverse characteristics into a single device remains a formidable challenge. This work presents a giant piezocapacitive sensor (GPCS) that matches human touch perception capabilities, based on a fish-scale-inspired electric-field gating film. This mechanically compliant and robust biomimetic film consists of high-permittivity rigid scales separated by air gaps within an elastomer matrix, resulting in a high bulk permittivity. These gaps act as electric-field gates that modulate the fringing electric field between electrode pairs, translating subtle mechanical deformations into substantial capacitance changes. Consequently, the GPCS achieves an exceptional bidirectional bending resolution of 0.005° over a range of ± 90° with a response time of 0.6 ms, showing no performance degradation in a 100 000-cycle bending test. This performance enables the precise discrimination of 16 fabric textures and the detection of surface topographies as fine as 1.8 µm-sufficient to resolve printed toner lines on paper. Finally, a GPCS array is integrated onto a robotic gripper, demonstrating in situ ripeness evaluation of kiwis during grasping, automated fruit sorting, and intuitive human-robot interactions.
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