抓住
机器人学
同轴
石墨烯
计算机科学
结构健康监测
材料科学
机器人
纳米技术
人工智能
复合材料
电信
程序设计语言
作者
Hui Ma,Qianqian Jiang,Xinlei Ma,Ruoqi Chen,Kun Hua,Xiubin Yang,Jiechao Ge,Junhui Ji,Mianqi Xue
出处
期刊:Langmuir
[American Chemical Society]
日期:2023-03-15
卷期号:39 (12): 4530-4536
被引量:6
标识
DOI:10.1021/acs.langmuir.3c00374
摘要
Lossless and efficient robotic grasping is becoming increasingly important with the widespread application of intelligent robotics in warehouse transportation, human healthcare, and domestic services. However, current sensors for feedback of grasping behavior are greatly restricted by high manufacturing cost, large volume and mass, complex circuit, and signal crosstalk. To solve these problems, here, we prepare lightweight distance sensor-based reduced graphene oxide (rGO)/MXene-rGO coaxial microfibers with interface buffer to assist lossless grasping of a robotic manipulator. The as-fabricated distance microsensor exhibits a high sensitivity of 91.2 m-1 in the distance range of 50-300 μm, a fast response time of 116 ms, a high resolution of 5 μm, and good stability in 500 cycles. Furthermore, the high-performance and lightweight microsensor is installed on the robotic manipulator to reflect the grasp state by the displacement imposed on the sensor. By establishing the correlation between the microsensing signal and the grasp state, the safe, non-destructive, and effective grasp and release of the target can be achieved. The lightweight and high-powered distance sensor displays great application prospects in intelligent fetching, medical surgery, multi-spindle automatic machines, and cultural relics excavation.
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