Slippage Detection with Piezoresistive Tactile Sensors

Romeo, Rocco Antonio; Oddo, Calogero Maria; Carrozza, Maria Chiara; Guglielmelli, Eugenio; Zollo, Loredana

doi:10.3390/s17081844

Cited by 41 publications

(28 citation statements)

References 33 publications

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“…Comparison among different strategies of stimulation of PNS to evoke tactile percepts. Parameters that have been considered are: i) number of subjects (S) and implant duration; ii) type of implanted electrode, number of channels, nerve target; iii) impedance measurement; iv) type of stimulation pattern; v) threshold charge/current over time; vi) …”

Section: Implantable Neuroprostheses In Clinical Applicationsmentioning

confidence: 99%

“…Moreover to successfully integrate tactile sensor with daily life activities, these devices must detect simultaneously not only various mechanical stimuli (normal pressure, lateral strain, shear, vibration) but also temperature, humidity and chemical, biological variables. A critical issue in tactile sensing is the integration of static (e.g., force, pressure) and dynamic (e.g., slip detection) information; this would require the use of a multi axial force sensor. Conformability and stretchability of sensors to adapt to 3D surfaces, such as human fingertip, should be achieved.…”

Section: Future Of Neuroprostheticsmentioning

confidence: 99%

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Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Cutrone

Micera

2019

Adv Healthcare Materials

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functions of nervous system when damages occur. Moreover, in case of physical impairments, the use of artificial tactile sensors is also paramount to ensure the possibility to restore the sense of touch to the patient. Bioinspiration from human natural touch could help in the release of enhanced tactile sensors to be used in neuroprosthetics. Technological and biological advancements brought serious improvements in the quality of these devices, such as miniaturization and increased biocompatibility. This article reviews the essential design criteria, working principles, materials, and technical considerations on neural interfaces and tactile sensors; their clinical application in neuroprosthetics and their future progress toward optimized solutions. Neural InterfacesA neural interface device (NID) is an implantable tool that aims at restoring nervous system functions in case of impairments or communicates with external components (e.g., limb prostheses); its main objective is to record neural signal from a small group of axons/cells or to stimulate a selected area of the nervous system. The clinical potentialities of NIDs range from their applications in central nervous system (CNS) for treating epilepsy seizures, mitigating Parkinson's disease; in peripheral nervous system (PNS) for controlling limb prostheses in amputees and restore sensory feedback; in autonomous nervous system such as vagus nerve to treat drug-resistant epilepsy and chronic depression to finally auditory and vision systems to restore the perception of specific sounds and phosphenes. An ideal NID should be biocompatible, highly selective, low invasive and stable over long time. If intended for clinical applications, the functionality of a NID should be reliable and should last decades. Considering the different implantation sites of interest of the device, various solutions have been proposed to optimize the communication between the NID and the surrounding environment. Figure 1 highlights the main applications of most common used NIDs in neuroprosthetics. With a special focus on implantable neuroprostheses and motor system, this paragraph will portray the design criteria, the materials and technical considerations heretofore used for the development of diverse types of NID used in CNS and PNS.Neuroprosthetics and neuromodulation represent a promising field for several related applications in the central and peripheral nervous system, such as the treatment of neurological disorders, the control of external robotic devices, and the restoration of lost tactile functions. These actions are allowed by the neural interface, a miniaturized implantable device that most commonly exploits electrical energy to fulfill these operations. A neural interface must be biocompatible, stable over time, low invasive, and highly selective; the challenge is to develop a safe, compact, and reliable tool for clinical applications. In case of anatomical impairments, neuroprosthetics is bound to the need of exploring the surrounding environment by fast-responsive and ...

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Section: Implantable Neuroprostheses In Clinical Applicationsmentioning

confidence: 99%

Section: Future Of Neuroprostheticsmentioning

confidence: 99%

Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Cutrone

Micera

2019

Adv Healthcare Materials

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“…The use of a tactile sensor inside the gripper provides useful information for gasping [ 23 , 24 ], object recognition [ 25 ], and manipulation [ 26 , 27 ] tasks. This problem has not yet been solved [ 28 ].…”

Section: Related Workmentioning

confidence: 99%

Enhancing Perception with Tactile Object Recognition in Adaptive Grippers for Human–Robot Interaction

Gandarias

Gómez-de-Gabriel

García-Cerezo

2018

Sensors

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The use of tactile perception can help first response robotic teams in disaster scenarios, where visibility conditions are often reduced due to the presence of dust, mud, or smoke, distinguishing human limbs from other objects with similar shapes. Here, the integration of the tactile sensor in adaptive grippers is evaluated, measuring the performance of an object recognition task based on deep convolutional neural networks (DCNNs) using a flexible sensor mounted in adaptive grippers. A total of 15 classes with 50 tactile images each were trained, including human body parts and common environment objects, in semi-rigid and flexible adaptive grippers based on the fin ray effect. The classifier was compared against the rigid configuration and a support vector machine classifier (SVM). Finally, a two-level output network has been proposed to provide both object-type recognition and human/non-human classification. Sensors in adaptive grippers have a higher number of non-null tactels (up to 37% more), with a lower mean of pressure values (up to 72% less) than when using a rigid sensor, with a softer grip, which is needed in physical human–robot interaction (pHRI). A semi-rigid implementation with 95.13% object recognition rate was chosen, even though the human/non-human classification had better results (98.78%) with a rigid sensor.

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“…There is little doubt that humans could have not survived without these senses. Considerable attempts have been made to incorporate tactile sensing capabilities into highly intelligent robotic systems by equipping such systems with sophisticated and delicate sensors that emulate human skin, as sensory information with a number of modalities could improve the accuracy of robot interaction with unstructured environments [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. Furthermore, researchers are starting to employ tactile sensing technology in prosthetic hands and arms to provide tactile feedback to patients with amputated limbs [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Tactile Sensing Technology

et al. 2018

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Research on tactile sensing technology has been actively conducted in recent years to pave the way for the next generation of highly intelligent devices. Sophisticated tactile sensing technology has a broad range of potential applications in various fields including: (1) robotic systems with tactile sensors that are capable of situation recognition for high-risk tasks in hazardous environments; (2) tactile quality evaluation of consumer products in the cosmetic, automobile, and fabric industries that are used in everyday life; (3) robot-assisted surgery (RAS) to facilitate tactile interaction with the surgeon; and (4) artificial skin that features a sense of touch to help people with disabilities who suffer from loss of tactile sense. This review provides an overview of recent advances in tactile sensing technology, which is divided into three aspects: basic physiology associated with human tactile sensing, the requirements for the realization of viable tactile sensors, and new materials for tactile devices. In addition, the potential, hurdles, and major challenges of tactile sensing technology applications including artificial skin, medical devices, and analysis tools for human tactile perception are presented in detail. Finally, the review highlights possible routes, rapid trends, and new opportunities related to tactile devices in the foreseeable future.

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Slippage Detection with Piezoresistive Tactile Sensors

Cited by 41 publications

References 33 publications

Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Implantable Neural Interfaces and Wearable Tactile Systems for Bidirectional Neuroprosthetics Systems

Enhancing Perception with Tactile Object Recognition in Adaptive Grippers for Human–Robot Interaction

Recent Advances in Tactile Sensing Technology

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