Robust and high-performance soft inductive tactile sensors based on the Eddy-current effect

https://doi.org/10.1016/j.sna.2017.12.060Get rights and content

Highlights

  • The first Soft Inductive Tactile Sensor (SITS) is proposed.

  • Working principle and design methodology of SITS are discussed.

  • A SITS prototype achieves a resolution of 0.82 mN in a range of over 15 N.

  • The presented SITS can operate in water or other harsh environments.

  • The SITS systems are low cost, durable, low hysteresis, and high performance.

Abstract

Tactile sensors are essential for robotic systems to interact safely and effectively with the external world, they also play a vital role in some smart healthcare systems. Despite advances in areas including materials/composites, electronics and fabrication techniques, it remains challenging to develop low cost, high performance, durable, robust, soft tactile sensors for real-world applications. This paper presents the first Soft Inductive Tactile Sensor (SITS) which exploits an inductance-transducer mechanism based on the eddy-current effect. SITSs measure the inductance variation caused by changes in AC magnetic field coupling between coils and conductive films. Design methodologies for SITSs are discussed by drawing on the underlying physics and computational models, which are used to develop a range of SITS prototypes. An exemplar prototype achieves a state-of-the-art resolution of 0.82 mN with a measurement range over 15 N. Further tests demonstrate that SITSs have low hysteresis, good repeatability, wide bandwidth, and an ability to operate in harsh environments. Moreover, they can be readily fabricated in a durable form and their design is inherently extensible as highlighted by a 4 × 4 SITS array prototype. These outcomes show the potential of SITS systems to further advance tactile sensing solutions for integration into demanding real-world applications.

Introduction

Tactile sensors are essential components that enable robotic systems to interact safely and effectively with humans and the environment [1,2]. They also offer significant potential for use in modern healthcare systems [3], including prosthetics [4], wearable health monitoring devices [5], and smart surgical instruments [6]. Compared to the visual and auditory senses, the tactile sensory capabilities provided by human skin [7,8] are complex, combining large arrays of high performance, multi-modal sensory elements (receptors) within a mechanically compliant substrate (skin tissues) to extract information through deformation during interaction with objects [1,9]. These attributes have provided a natural benchmark for those seeking to develop tactile sensors and achieve a comparable performance to biological systems such as human hand [10], notably in resolution, accuracy, bandwidth and mechanical compliance. To be effectively applied in real-world environments, it is advantageous that they are durable and robust to the repeated mechanical interaction inherent in tactile sensing. Research into tactile sensors which attempts to meet these challenging objectives has been catalysed by recent advances in enabling technologies, particularly printed organic electronics [11] and advanced materials [12]. Remarkable progress has been made in developing compliant sensory systems, with notable examples including an ultra-lightweight, tactile sensing array with integrated organic electronics [11], a printed flexible tactile sensing skin [13], self-powered sensors employing triboelectric effects [14] and systems using organic electronics that simulate the signalling outputs of the mechanoreceptors found in human skin [15]. Nevertheless, challenges remain in the ease with which tactile sensors can be fabricated, interfaced and integrated into robotic and healthcare systems. Researchers seeking innovations in tactile sensing have explored and exploited new materials, novel composites/structures, fabrication techniques and transducer mechanisms [16]. In this work we focus on the opportunity to use an alternative transducer mechanism to develop high-performance, robust and durable tactile sensors.

Tactile sensors are typically derived from modes of transducer sensitive to strain, stress, displacement or vibration. A wide variety of different transducer mechanisms have been exploited to date [17], with common modalities including piezoresistivity/resistance, piezoelectricity, triboelectricity, capacitance, optics/laser, and magnetic field [16]. Piezoresistive/resistive tactile sensors [18] are prevalent, and operate by measuring the resistance variations caused by changes in contact area between conductive materials, changes in conductive path in conductive elastic composites, or changes in the geometry of conductive liquids [19]. They are low-cost, and require simple readout electronics, but they also encounter low sensitivity, slow response, small dynamic range and large hysteresis. Recently, an ultra-sensitive resistive pressure sensor (1 Pa resolution) [12] has been developed by using an elastic hollow-sphere microstructured conductive polymer, however large hysteresis was observed. Piezoelectric sensors [20] generate electrical charges when force is applied. They are typically highly sensitive, but rigid, and only detect dynamic forces. Recently, novel piezoelectric composites and structures (e.g. PVDF [21] and piezoelectric nanowires [22]) have been developed for flexible tactile sensors. Capacitive tactile sensors [23] obtain force information by measuring the capacitance variations caused by the movement of one electrode toward another when force is applied to the elastic body. Flexible single-axis and three-axis forms of capacitive tactile sensors have been developed, for instance using conductive textile as electrodes [24]. Despite their high sensitivity and rapid response, capacitive tactile sensors require complex fabrication processes [25], and they are sensitive to environmental contaminants [26] (such as oil, dust, liquid and vaporous water etc.). Other research has exploited optical transducers for tactile sensing, typically using camera/photodetectors to monitor the deformation of soft skins [27]. This approach yields highly deformable systems, insensitive to electromagnetic interference and environmental contaminants. A notable example is a thin (<150 μm), transparent, flexible tactile sensor array based on a polymer-waveguide system [28]. However, it has relatively low sensitivity, poor repeatability, and large hysteresis in comparison to other sensing modalities. Magnetic field-based tactile sensors [29] have seen recent enhancements from the availability of integrated, compact, Hall-Effect sensing chips, providing sensors which are deformable, durable and low-cost [30]. This type of sensor has been integrated into fingertip of robotic hand to provide tactile sensing feedback [31]. However, they are directly affected by external magnetic sources or ferro-magnetic objects which change the local magnetic field distribution. These factors make such sensors prohibitive for applications involving objects made of ferro-magnetic materials (e.g. Iron, nickel, cobalt and their alloys).

One notable physical phenomenon which remains undeveloped in soft tactile sensing is the eddy-current effect, despite its ubiquity in industry [32] in the form of eddy current sensors (ECSs), which enable non-contact displacement sensing with high sensitivity, wide bandwidth and robustness to environmental contaminants [33,34]. ECSs operate by monitoring the distance between an AC current excited coil and an electrically isolated conductor (sensing target) [34], a configuration which minimises the need to expose potentially vulnerable electronic elements near the external environment. Based on this principle, Texas Instruments developed a demonstration system to detect touch/force on metal buttons [35] by monitoring the inductance change of a coil situated underneath. We sought to exploit the advantages brought by ECSs and translate this technology into a form-factor that can be readily designed, fabricated and optimised toward soft tactile sensing for robotic and medical applications. Thus, in this work, we present the first Soft Inductive Tactile Sensor (SITS) which exploits an inductance-transducer mechanism based on the eddy-current effect. We explain the operating principle and discuss design methodology, and develop physical exemplars to evaluate their performance and illustrate their potential for real-world applications.

Section snippets

Working principle

The key components of a SITS comprise three layered elements; a planar coil (the sensing element), a deformable middle layer (elastomer) and an uppermost conductive film (the sensing target), as shown in Fig. 1(a). The operating principle of a SITS is based on the eddy-current effect (a form of electromagnetic induction) [36]. The coil excited by an AC current (typically 0.1–10 MHz) generates alternating magnetic fields which induce eddy currents in the nearby conductive film. The induced eddy

Sensor design

Double-layer spiral coils were designed to be fabricated by standard flexible printed circuit (FPC) manufacturer for SITS systems. As shown in Fig. 2, each coil has an outer diameter of 8.0 mm, and inner diameter of 2.4 mm, comprises 14 turns in both top layer and bottom layer. Both the width and space of the loop trace are 100 μm, and the thickness of the trace is 35 μm. The total thickness of the flexible coil is 0.2 mm. The minimum width and space of loop trace is determined by the

Experimental setup

To characterize and evaluate the SITS prototypes, an experimental testing setup (Fig. 6) was built, which comprises a motorized micro-positioning stage (T-LSR75B, Zaber Technologies Inc, Canada) to move the SITS prototypes in the z axis, two manual positioning stages to move the indenter in x and y axes, and a 6-axis force/torque sensor (Nano17-E, ATI industrial automation, Apex, NC, USA) to monitor the force. The motorized stage has a minimum step of 0.5 μm, a travel range of 75 mm and

Discussion and conclusion

This paper presents the first soft inductive tactile sensor (SITS), which exploits an inductance-based transducer mechanism based on eddy-current effect. The working principle of the sensors and the associated design methodology were discussed with reference to theoretical and computational models, and prototypes were developed and evaluated. It is demonstrated that SITSs can achieve high performance (sensitivity, bandwidth, dynamic range etc.), and they are robust to operate in harsh

Acknowledgements

This work was supported by the Leverhulme Trust (grant number: RPG-2014-381).

Hongbo Wang obtained his B.E. and PhD in Precision Instrumentation & Machinery at the University of Science and Technology of China (USTC), Hefei, China, in 2010 and 2015, respectively. In 2015, he was awarded with the President’s “Special Prize” of the Chinese Academy of Sciences for his PhD study. He is currently a postdoctoral researcher in the Artificial Touch in Soft BioRobotics Group at the Center for Micro-BioRobotics of the Istituto Italiano di Tecnologia (IIT), Pontedera (Pisa), Italy.

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    Hongbo Wang obtained his B.E. and PhD in Precision Instrumentation & Machinery at the University of Science and Technology of China (USTC), Hefei, China, in 2010 and 2015, respectively. In 2015, he was awarded with the President’s “Special Prize” of the Chinese Academy of Sciences for his PhD study. He is currently a postdoctoral researcher in the Artificial Touch in Soft BioRobotics Group at the Center for Micro-BioRobotics of the Istituto Italiano di Tecnologia (IIT), Pontedera (Pisa), Italy. His research interests include soft tactile sensors, soft robotics and biomechatronics, flexible/stretchable electronics, smart materials, and wearable systems.

    Jun Wai Kow received his B.Eng and M.Sc degree in mechatronics and robotics engineering from the University of Leeds, UK, in 2014 and 2015 respectively. Currently, he is pursuing his PhD in the research area of soft robotics at the University of Leeds. His research interests includes medical and rehabilitation robots.

    Nicholas Raske is a Research Associate at Imperial College London in the Department of Aeronautics. His research focuses on the numerical simulation of engineering systems including compliant structures and materials, composite structures and thin film fluid flows. He received his MEng degree in Aerospace Engineering from the University of Leeds 2011 and his PhD in Mechanical Engineering from the same institution in 2014.

    Gregory de Boer is a Research & Teaching Fellow in the School of Mechanical Engineering, University of Leeds. His previous employment also includes a postdoctoral role at Imperial College London. His research interests are in numerical modelling, in particular computational fluid dynamics, non-linear solid mechanics, and optimisation. He has contributed toward publications in the fields of tactile sensor design, lubrication flows, meta-modelling and external aerodynamics. He obtained his BEng, MEng and PhD degrees from the School of Mechanical Engineering, University of Leeds in 2011 and 2015 respectively.

    Mazdak Ghajari is a lecturer in Dyson School of Design Engineering, Imperial College London. His research focuses on human performance and experience in extreme conditions, including traumatic brain injury, and design of protection strategies. He uses computational and experimental methods for his work and is interested in understanding the response of biological and engineering materials, e.g. composites and lattices, to impact and blast loading. He did his PhD in Aeronautics Department and was a research fellow for two years before his lectureship position.

    Robert Hewson is a Senior Lecturer in the Department of Aeronautics at Imperial College London. His research spans tribology, multiscale analysis and optimisation. He completed his PhD in 2006 and worked at the University of Leeds until 2013 when he moved to Imperial. He currently has a Royal Academy of Engineering Industrial Fellowship to work at Airbus on structural meta-materials and design optimisation for Additive Manufacturing.

    Ali Alazmani is a University Academic Fellow at the University of Leeds. His position is a strategic investment by Leeds to explore capabilities of soft systems in engineering and medicine. He completed his PhD in 2013 at the University of Leeds followed by a postdoctoral training at Harvard University, Wyss Institute of Biologically Inspired Engineering, and Boston Children’s Hospital to develop a soft cardiac assist device. His research interests include design and fabrication of enabling technologies in soft systems, soft materials for sensing and actuation, and morphable soft-bodied robotics applied to healthcare and medical technologies.

    Peter Culmer is Associate Professor at the University of Leeds where he leads the multidisciplinary Surgical Technologies research group. Dr Culmer works closely with healthcare professionals and industry partners. His interests are the application of mechatronics to better understand, and address, worldwide healthcare challenges. His research achieves impact clinically and he plays an active part in the medical research community as board member of the NIHR HTC in Colorectal Therapies and iMechE’s Biomedical Engineering Association. As academic lead of the EPSRC IMPRESS Network he is passionate about understanding and developing technology to help people with incontinence.

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