Highly stretchable optical sensors for pressure, strain, and curvature measurement

To, Celeste; Hellebrekers, Tess; Park, Yong‐Lae

doi:10.1109/iros.2015.7354215

Cited by 81 publications

(50 citation statements)

References 30 publications

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“…Recently, optic sensing is being used for soft robots as optics does not rely on rigid medium, thus is ”soft” in nature. Park et al [65] developed highly stretchable optical sensors for pressure, strain, and curvature measurement. The next generation of this sensor aimed to use optical fibers to transmit and detect light through the soft waveguide instead of directly embedding a light source and a detector in the soft material.…”

Section: Discussion and Future Perspectivesmentioning

confidence: 99%

Fiber-Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review

Iordachita

Tokuda

et al. 2017

IEEE Sensors J.

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Magnetic Resonance Imaging (MRI) provides both anatomical imaging with excellent soft tissue contrast and functional MRI imaging (fMRI) of physiological parameters. The last two decades have witnessed the manifestation of increased interest in MRI-guided minimally invasive intervention procedures and fMRI for rehabilitation and neuroscience research. Accompanying the aspiration to utilize MRI to provide imaging feedback during interventions and brain activity for neuroscience study, there is an accumulated effort to utilize force sensors compatible with the MRI environment to meet the growing demand of these procedures, with the goal of enhanced interventional safety and accuracy, improved efficacy and rehabilitation outcome. This paper summarizes the fundamental principles, the state of the art development and challenges of fiber optic force sensors for MRI-guided interventions and rehabilitation. It provides an overview of MRI-compatible fiber optic force sensors based on different sensing principles, including light intensity modulation, wavelength modulation, and phase modulation. Extensive design prototypes are reviewed to illustrate the detailed implementation of these principles. Advantages and disadvantages of the sensor designs are compared and analyzed. A perspective on the future development of fiber optic sensors is also presented which may have additional broad clinical applications. Future surgical interventions or rehabilitation will rely on intelligent force sensors to provide situational awareness to augment or complement human perception in these procedures.

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Section: Discussion and Future Perspectivesmentioning

confidence: 99%

Fiber-Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review

Iordachita

Tokuda

et al. 2017

IEEE Sensors J.

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“…Research has shown that the use of a strain-limiting layer such as fabric can reduce elongation in soft robots [23]; however, delamination is still observed between the optical fiber sensor and the soft material if elongation has not been completely eliminated. A few stretchable fiber optic sensors were designed based on a light-guiding mechanism in a waveguide [24,25]; however, none of them were actually built using a conventional glass optical fiber, meaning that they do not carry all the advantages of using optical fiber as a sensor. For instance, a larger loss is observed in polymer fiber or special waveguide, even when the sensor signal only needs to be transmitted over a short distance of a few meters, thus limiting its applications where a longer distance transmission is required.…”

Section: Introductionmentioning

confidence: 99%

Movement Detection in Soft Robotic Gripper Using Sinusoidally Embedded Fiber Optic Sensor

Yang

Liu

Naqawe

et al. 2020

Sensors

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Soft robotics is an emerging field, since it offers distinct opportunities in areas where conventional rigid robots are not a feasible solution. However, due to the complex motions of soft robots and the stretchable nature of soft building materials, conventional electronic and fiber optic sensors cannot be used in soft robots, thus, hindering the soft robots’ ability to sense and respond to their surroundings. Fiber Bragg grating (FBG)-based sensors are very popular among various fiber optic sensors, but their stiff nature makes it challenging to be used in soft robotics. In this study, a soft robotic gripper with a sinusoidally embedded stretchable FBG-based fiber optic sensor is demonstrated. Unlike a straight FBG embedding configuration, this unique sinusoidal configuration prevents sensor dislocation, supports stretchability and improves sensitivity by seven times when compared to a straight configuration. Furthermore, the sinusoidally embedded FBG facilitates the detection of various movements and events occurring at the soft robotic gripper, such as (de)actuation, object holding and external perturbation. The combination of a soft robot and stretchable fiber optic sensor is a novel approach to enable a soft robot to sense and response to its surroundings, as well as to provide its operation status to the controller.

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“…They can be integrated, for example, in robotic fingers for both force and tactile sensing [17]. Standard materials in soft robotics such as polydimethylsiloxane (PDMS) can also be used as optical waveguides; therefore a simple LED and photodiode pair between a PDMS channel can be used in a bend or strain sensor [18]. A high resolution alternative to the previous methods is offered by sensors that work with CCD cameras, such as the TacTip soft, tactile fingertip [19].…”

Section: Introductionmentioning

confidence: 99%

Skinflow: A soft robotic skin based on fluidic transmission

Soter

Garrad

Conn

et al. 2019

2019 2nd IEEE International Conference on Soft Robotics (RoboSoft)

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Highly stretchable optical sensors for pressure, strain, and curvature measurement

Cited by 81 publications

References 30 publications

Fiber-Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review

Fiber-Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review

Movement Detection in Soft Robotic Gripper Using Sinusoidally Embedded Fiber Optic Sensor

Skinflow: A soft robotic skin based on fluidic transmission

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