A contact force measure sensor based on resistance-array-type sensor
文献类型：会议论文
| 作者 | He K(贺凯); Zhao L(赵亮) ; Yu P(于鹏); Liu LQ(刘连庆)
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| 出版日期 | 2017 |
| 会议名称 | 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017 |
| 会议日期 | May 19-21, 2017 |
| 会议地点 | Hefei, China |
| 关键词 | Resistance-array equipotential barrier shielding method resistance-array-type sensor crosstalk noise variable precision measuring |
| 页码 | 760-763 |
| 通讯作者 | He K(贺凯) |
| 中文摘要 | As an ideal candidate for biology information detection, flexible resistance-array-type sensors have attracted extensive attention. But owing to the Neighbor Disturbance in resistance array, the accuracy of the sensors has been limited greatly. In the presented work, a novel resistance measuring circuit has been developed with equipotential shielding method, which shows a better accuracy in detecting. Furthermore, the variable accuracy of the circuit can be realized by utilizing different resistance. Meanwhile, a contact force measure sensor was designed following the proposed principle. Finally, a set of experiments have been conducted by detecting hard cores buried in soft gel to test and verify the sensitivity and feasibility of 2D shape recognition of the sensor. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 9781538629017 |
| WOS记录号 | WOS:000425862800144 |
| 源URL | [http://ir.sia.cn/handle/173321/20822]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 2.University of Chinese Academy of Sciences, Beijing, 100049, China |
| 推荐引用方式 GB/T 7714 | He K,Zhao L,Yu P,et al. A contact force measure sensor based on resistance-array-type sensor[C]. 见:32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017. Hefei, China. May 19-21, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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