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具有类沙皮犬状分级褶皱的可拉伸石墨烯压力传感器,用于碰撞感知手术机器人。

Stretchable Graphene Pressure Sensors with Shar-Pei-like Hierarchical Wrinkles for Collision-Aware Surgical Robotics.

机构信息

Department of Chemical and Biomolecular Engineering , National University of Singapore (NUS) , 117585 , Singapore.

Department of Biomedical Engineering , National University of Singapore (NUS) , 117583 , Singapore.

出版信息

ACS Appl Mater Interfaces. 2019 Mar 13;11(10):10226-10236. doi: 10.1021/acsami.9b00166. Epub 2019 Mar 1.

Abstract

Stretchable skin-like pressure sensing with minimized and distinguishable strain-induced interference is essential for the development of collision-aware surgical robotics to improve the safety and efficiency of minimally invasive surgery in a confined space. Inspired by the multidimensional wrinkles of Shar-Pei dog's skin for tactile sensing, we developed a stretchable pressure sensor consisting of reduced graphene oxide (rGO) electrodes with biomimetic topographies to improve the robot-tissue collision detections. A facile fabrication route for stretchable rGO electrodes was first demonstrated by harnessing the surface instability during the sequential deformation processes. The wrinkle-crumple rGO electrodes exhibited high stretchability (∼100%) and strain-insensitive resistance profiles [a gauge factor (GF) < 0.05], which were next utilized to fabricate piezoresistive pressure sensors. The rGO pressure sensors were highly stretchable and exhibited high sensitivity under uniaxial strains (1.37, 1.30, and 0.98 kPa at 0, 30, and 50% stretching states, respectively) along with distinguishable and reduced stretching responsiveness (a small GF ∼0.2 under 40% strains). The stretchable pressure sensors were next integrated with two surgical robots for the transoral robotic surgery procedure. During the cadaveric testing, the rGO sensors can detect the robot-tissue contacts under joint stretches in real time to enhance the surgeon's awareness for collision avoidance. The stretchable rGO pressure sensor that is highly sensitive under large strains provides great potential in the fields of wearable sensing and collision-aware humanoid robots to improve the human-machine interactions.

摘要

具有最小化和可区分的应变诱导干扰的可拉伸皮肤状压力感应对于开发防撞手术机器人至关重要,以提高微创手术在有限空间中的安全性和效率。受沙皮狗皮肤的多维皱纹用于触觉感应的启发,我们开发了一种由具有仿生形貌的还原氧化石墨烯 (rGO) 电极组成的可拉伸压力传感器,以提高机器人与组织的碰撞检测能力。首先通过利用顺序变形过程中的表面不稳定性,展示了一种用于制造可拉伸 rGO 电极的简单制造方法。皱纹-褶皱 rGO 电极具有高拉伸性(约 100%)和应变不敏感的电阻曲线[a 应变系数 (GF) < 0.05],然后将其用于制造压阻压力传感器。rGO 压力传感器具有高拉伸性,在单向应变下表现出高灵敏度(分别在 0、30 和 50%拉伸状态下为 1.37、1.30 和 0.98 kPa),同时具有可区分和减小的拉伸响应性(在 40%应变下,较小的 GF 约为 0.2)。然后将可拉伸压力传感器与两个手术机器人集成在一起,用于经口机器人手术过程。在尸体测试中,rGO 传感器可以实时检测联合拉伸下的机器人与组织的接触,以增强外科医生对避免碰撞的意识。在大应变下具有高灵敏度的可拉伸 rGO 压力传感器在可穿戴式传感和防撞人形机器人等领域具有很大的潜力,可以改善人机交互。

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