Tactile near-sensor analogue computing for ultrafast responsive artificial skin
Ultrafast artificial skin enables unprecedented tactile internet applications in prosthetics, robotics, and human-machine interactions. However, current artificial skin systems that rely on front-end interface electronics typically perform redundant data transfer and analogue-to-digital conversions...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/163238 |
| _version_ | 1811679054141587456 |
|---|---|
| author | Wang, Ming Tu, Jiaqi Huang, Zhangcheng Wang, Ting Liu, Zhihua Zhang, Feilong Li, Wenlong He, Ke Pan, Liang Zhang, Xumeng Feng, Xue Liu, Qi Liu, Ming Chen, Xiaodong |
| author2 | School of Materials Science and Engineering |
| author_facet | School of Materials Science and Engineering Wang, Ming Tu, Jiaqi Huang, Zhangcheng Wang, Ting Liu, Zhihua Zhang, Feilong Li, Wenlong He, Ke Pan, Liang Zhang, Xumeng Feng, Xue Liu, Qi Liu, Ming Chen, Xiaodong |
| author_sort | Wang, Ming |
| collection | NTU |
| description | Ultrafast artificial skin enables unprecedented tactile internet applications in prosthetics, robotics, and human-machine interactions. However, current artificial skin systems that rely on front-end interface electronics typically perform redundant data transfer and analogue-to-digital conversions for decision-making, causing long latency (milliseconds). Here, a near-sensor analogue computing system based on a flexible memristor array for artificial skin applications is reported. This system, which seamlessly integrates a tactile sensor array with a flexible hafnium oxide memristor array, can simultaneously sense and compute raw multiple analogue pressure signals without interface electronics. As a proof-of-concept, the system is used for real-time noise reduction and edge detection of tactile stimuli. One sensing-computing operation of this system takes about 400 ns and consumes on average 1000 times less power than a conventional interface electronic system. The results demonstrate that near-sensor analogue computing offers an ultrafast and energy-efficient route to large-scale artificial skin systems. |
| first_indexed | 2024-10-01T03:03:03Z |
| format | Journal Article |
| id | ntu-10356/163238 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:03:03Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1632382023-07-14T16:06:29Z Tactile near-sensor analogue computing for ultrafast responsive artificial skin Wang, Ming Tu, Jiaqi Huang, Zhangcheng Wang, Ting Liu, Zhihua Zhang, Feilong Li, Wenlong He, Ke Pan, Liang Zhang, Xumeng Feng, Xue Liu, Qi Liu, Ming Chen, Xiaodong School of Materials Science and Engineering Innovative Center for Flexible Devices (iFLEX) Engineering::Materials Flexible Electronics In-Memory Computing Ultrafast artificial skin enables unprecedented tactile internet applications in prosthetics, robotics, and human-machine interactions. However, current artificial skin systems that rely on front-end interface electronics typically perform redundant data transfer and analogue-to-digital conversions for decision-making, causing long latency (milliseconds). Here, a near-sensor analogue computing system based on a flexible memristor array for artificial skin applications is reported. This system, which seamlessly integrates a tactile sensor array with a flexible hafnium oxide memristor array, can simultaneously sense and compute raw multiple analogue pressure signals without interface electronics. As a proof-of-concept, the system is used for real-time noise reduction and edge detection of tactile stimuli. One sensing-computing operation of this system takes about 400 ns and consumes on average 1000 times less power than a conventional interface electronic system. The results demonstrate that near-sensor analogue computing offers an ultrafast and energy-efficient route to large-scale artificial skin systems. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) National Research Foundation (NRF) Submitted/Accepted version The project was partially supported by the National Key R&D Program of China under Grant (2021YFB3601200), the National Nature Science Foundation of China (62104042), the Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funding Scheme (Project #A18A1b0045), the National Research Foundation (NRF), Prime Minister’s office, Singapore, under its NRF Investigatorship (NRF-NRFI2017-07), and Singapore Ministry of Education (MOE2019-T2-2-022). 2022-11-29T05:53:58Z 2022-11-29T05:53:58Z 2022 Journal Article Wang, M., Tu, J., Huang, Z., Wang, T., Liu, Z., Zhang, F., Li, W., He, K., Pan, L., Zhang, X., Feng, X., Liu, Q., Liu, M. & Chen, X. (2022). Tactile near-sensor analogue computing for ultrafast responsive artificial skin. Advanced Materials, 34(34), 2201962-. https://dx.doi.org/10.1002/adma.202201962 0935-9648 https://hdl.handle.net/10356/163238 10.1002/adma.202201962 35816720 2-s2.0-85134526361 34 34 2201962 en A18A1b0045 NRF-NRFI2017-07 MOE2019-T2-2-022 Advanced Materials © 2022 Wiley-VCH GmbH. All rights reserved. This is the peer reviewed version of the following article: Wang, M., Tu, J., Huang, Z., Wang, T., Liu, Z., Zhang, F., Li, W., He, K., Pan, L., Zhang, X., Feng, X., Liu, Q., Liu, M. & Chen, X. (2022). Tactile near-sensor analogue computing for ultrafast responsive artificial skin. Advanced Materials, 34(34), 2201962-, which has been published in final form at https://doi.org/10.1002/adma.202201962. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
| spellingShingle | Engineering::Materials Flexible Electronics In-Memory Computing Wang, Ming Tu, Jiaqi Huang, Zhangcheng Wang, Ting Liu, Zhihua Zhang, Feilong Li, Wenlong He, Ke Pan, Liang Zhang, Xumeng Feng, Xue Liu, Qi Liu, Ming Chen, Xiaodong Tactile near-sensor analogue computing for ultrafast responsive artificial skin |
| title | Tactile near-sensor analogue computing for ultrafast responsive artificial skin |
| title_full | Tactile near-sensor analogue computing for ultrafast responsive artificial skin |
| title_fullStr | Tactile near-sensor analogue computing for ultrafast responsive artificial skin |
| title_full_unstemmed | Tactile near-sensor analogue computing for ultrafast responsive artificial skin |
| title_short | Tactile near-sensor analogue computing for ultrafast responsive artificial skin |
| title_sort | tactile near sensor analogue computing for ultrafast responsive artificial skin |
| topic | Engineering::Materials Flexible Electronics In-Memory Computing |
| url | https://hdl.handle.net/10356/163238 |
| work_keys_str_mv | AT wangming tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT tujiaqi tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT huangzhangcheng tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT wangting tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT liuzhihua tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT zhangfeilong tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT liwenlong tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT heke tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT panliang tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT zhangxumeng tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT fengxue tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT liuqi tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT liuming tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin AT chenxiaodong tactilenearsensoranaloguecomputingforultrafastresponsiveartificialskin |