Engineering Fellowship for Growth - Neuromorphic Printed Tactile Skin (NeuPRINTSKIN) (Ext)

成长工程奖学金 - 神经形态印刷触觉皮肤 (NeuPRINTSKIN)（扩展）

• 批准号: EP/R029644/1
• 负责人: Ravinder Dahiya
• 金额: $ 137.2万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR029644%2F1
• 关键词: Engineering; Fellowship; Growth; Neuromorphic; Printed

This project is an extension of the Engineering Fellowship for Growth: Printable Tactile Skin (PRINTSKIN). PRINTSKIN focused on developing a robust ultra-flexible tactile skin, endowing state-of-the-art robotic hand with the tactile skin and validating it by using tactile information from large areas of robot hands to handle daily object with different curvatures. The tactile skin is critical for autonomy of robots and for the safe human-robot interaction need to meet societal needs such as helping elderly. The tactile feedback is critical in such tasks as the robots often use incomplete environmental model which are insufficient to deal with external changes. The touch sensing is also needed to augment other sensory modalities (e.g. vision) in robotics. Inspired by nature, numerous works including PRINTSKIN project, have harnessed the technological advances to develop e-skin with some features mimicking human skin - particularly the contact parameters and morphological features. However, just morphology of skin or capturing few parameters that we experience as touch is not enough. To develop an effective tactile skin, there is also a need to understand the perceptual mechanism and to find the ways to extract the information from large tactile data (especially in the case of large area tactile skin). Research suggests that distributed computing takes place in the biological tactile sensory system. For example, the ensemble of tactile data from peripheral neurons is considered to indicate both the contact force and its direction. This means raw tactile data is not sent to brain and that some distributed computing takes place in our skin. This is in sharp contrast with current e-skin approaches which transmit the as acquired tactile data to higher perceptual levels. The research proposed here will break this trend by introducing neuron like processing and bring a step change in the tactile sensing research by developing the first neuromorphic tactile skin or the brainy skin. A new neural layer, developed using the printed silicon nanowire methodology developed in PRINSKIN, will be integrated under the e-skin to enable fast, energy efficient and distributed tactile data processing. This groundbreaking research will lead to the first hardware implementation of neuromorphic tactile skin. Innovative schematic, with novel neural nanowire field effect transistors and memory devices as building blocks, will be used to develop the neurons which will eventually lead to the neural layer. The advanced tactile skin will be benchmarked against available semi-rigid skins and the skin developed through PRINTSKIN. The skin will be validated on at least three different robotic hands (Shadow Hand, i-Limb, and custom 3D printed hand) used for dexterous manipulation and prosthetics. By adding neural layer underneath the current tactile skin, this extension project will add significant new perspective to the fellowship achievements and trigger transformations in strategic areas such as robotics, prosthetics, neurotechnology, wearable systems, next-generation computing and flexible and printable electronics.

该项目是工程奖学金的延伸增长：可打印的触觉皮肤（PRINTSKIN）。PRINTSKIN专注于开发一种强大的超柔性触觉皮肤，赋予最先进的机器人手触觉皮肤，并通过使用来自大面积机器人手的触觉信息来处理具有不同曲率的日常物体来验证它。触觉皮肤对于机器人的自主性和安全的人机交互需求至关重要，以满足社会需求，例如帮助老年人。触觉反馈在机器人的任务中是至关重要的，因为机器人通常使用不完整的环境模型，不足以处理外部变化。触摸感测还需要增强机器人中的其他感觉模态（例如视觉）。受大自然的启发，包括PRINTSKIN项目在内的许多作品利用技术进步开发了具有模仿人类皮肤的某些特征的电子皮肤-特别是接触参数和形态特征。然而，仅仅是皮肤的形态或捕捉我们作为触摸体验的一些参数是不够的。为了开发有效的触觉皮肤，还需要理解感知机制并找到从大触觉数据（特别是在大面积触觉皮肤的情况下）提取信息的方法。研究表明，分布式计算发生在生物触觉感知系统中。例如，来自外周神经元的触觉数据的集合被认为指示接触力及其方向。这意味着原始触觉数据不会发送到大脑，一些分布式计算发生在我们的皮肤上。这与当前的电子皮肤方法形成鲜明对比，当前的电子皮肤方法将所获取的触觉数据传输到更高的感知水平。本文提出的研究将通过引入类神经元处理来打破这一趋势，并通过开发第一个神经形态触觉皮肤或智能皮肤来带来触觉传感研究的一步变化。使用PRINSKIN开发的印刷硅纳米线方法开发的新神经层将集成在电子皮肤下，以实现快速，节能和分布式触觉数据处理。这项突破性的研究将导致神经形态触觉皮肤的第一个硬件实现。创新的示意图，与新的神经纳米线场效应晶体管和存储器设备作为积木，将用于开发神经元，最终导致神经层。先进的触觉皮肤将以现有的半刚性皮肤和通过PRINTSKIN开发的皮肤为基准。皮肤将在至少三种不同的机器人手（Shadow Hand，i-Limb和定制3D打印手）上进行验证，用于灵巧操作和假肢。通过在当前触觉皮肤下添加神经层，该扩展项目将为奖学金成就增添重要的新视角，并引发机器人、假肢、神经技术、可穿戴系统、下一代计算以及柔性和可打印电子产品等战略领域的变革。

项目成果

Disposable pH Sensor on Paper Using Screen-Printed Graphene-Carbon Ink Modified Zinc Oxide Nanoparticles

• DOI: 10.1109/jsen.2022.3206212
• 发表时间: 2022-11-01
• 期刊: IEEE SENSORS JOURNAL
• 影响因子: 4.3
• 作者: Aliyana, Akshaya Kumar;Ganguly, Priyanka;Dahiya, Ravinder
• 通讯作者: Dahiya, Ravinder

Printed Chipless Antenna as Flexible Temperature Sensor

• DOI: 10.1109/jiot.2021.3051467
• 发表时间: 2021-03-15
• 期刊: IEEE INTERNET OF THINGS JOURNAL
• 影响因子: 10.6
• 作者: Bhattacharjee, Mitradip;Nikbakhtnasrabadi, Fatemeh;Dahiya, Ravinder
• 通讯作者: Dahiya, Ravinder

Screen-printed graphene-carbon ink based disposable humidity sensor with wireless communication

• DOI: 10.1016/j.snb.2022.132731
• 发表时间: 2022-10-07
• 期刊: SENSORS AND ACTUATORS B-CHEMICAL
• 影响因子: 8.4
• 作者: Beniwal, Ajay;Ganguly, Priyanka;Dahiya, Ravinder
• 通讯作者: Dahiya, Ravinder

Microdroplet-Based Organic Vapour Sensor on a Disposable GO-Chitosan Flexible Substrate

• DOI: 10.1109/jsen.2020.2992087
• 发表时间: 2020-07-15
• 期刊: IEEE SENSORS JOURNAL
• 影响因子: 4.3
• 作者: Bhattacharjee, Mitradip;Vilouras, Anastasios;Dahiya, Ravinder S.
• 通讯作者: Dahiya, Ravinder S.

PEDOT:PSS Microchannel-Based Highly Sensitive Stretchable Strain Sensor

• DOI: 10.1002/aelm.202000445
• 发表时间: 2020-07-14
• 期刊: ADVANCED ELECTRONIC MATERIALS
• 影响因子: 6.2
• 作者: Bhattacharjee, Mitradip;Soni, Mahesh;Dahiya, Ravinder
• 通讯作者: Dahiya, Ravinder