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UV-laser-machined stretchable multi-modal sensor network for soft robot interaction

Jooyeun Ham, Amy Kyungwon Han, Mark R. Cutkosky, Zhenan Bao

发表年份
2022
引用次数
49
访问权限
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摘要

Abstract Soft robotic hands can facilitate human–robot interaction by allowing robots to grasp a wide range of objects safely and gently. However, their performance has been hampered by a lack of suitable sensing systems. We present a flexible and stretchable multi-modal sensor network integrated with a soft robotic hand. The design of wired sensors on a flexible metalized film was embodied through a manufacturing approach that uses both UV laser metal ablation and plastic cutting simultaneously to create sensor electrode and stretchable conductive wires in a Kirigami pattern into a single network. We evaluated the interconnects and sensors by measuring an impedance change to each external stimulus and showed that are not substantially affected by stretching the network. With the sensor sheet wrapped around a soft robotic gripper, we demonstrated several interaction scenarios, including a warm burrito for food handling, and a warm baby doll for medical applications.

关键词

GRASPRobotSoft roboticsMaterials scienceComputer scienceTactile sensorModalAcousticsMechanical engineeringEngineering

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