Sensing performance optimization by refining the temperature and humidity of clad engraved optical fiber sensor in glucose solution concentration

Renganathan, B.; Rao, Subha Krishna; Kamath, Manjunath S.; Deepak, A.; Ganesan, A. R.

doi:10.1016/j.measurement.2022.112341

Cited by 15 publications

(1 citation statement)

References 33 publications

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“…One of the most commonly used methods is to embed stretchable strain sensors into the channel to convert the soft robot's morphology into measurable signal changes. Some smart materials have also been used for soft robotic sensing, such as LMbased resistive sensors, [215] nanocomposite-based piezoresistive sensors, [216] engraved optical fiber sensors, [217] magnetic fieldbased sensors, [218] and waveguide optical system. [219] Walker et al developed a strain sensor based on dielectric elastomers that can work reliably and reproducibly in marine environments as shown in Figure 6a.…”

Section: Proprioception Of Soft Robotmentioning

confidence: 99%

Advanced Flexible Sensing Technologies for Soft Robots

Qu,

Cui,

et al. 2024

Adv Funct Materials

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Soft robots have recently attracted increasing interest due to their advantages in durability, flexibility, and deformability, which enable them to adapt to unstructured environments and perform various complex tasks. Perception is crucial for soft robots. To better mimic biological systems, sensors need to be integrated into soft robotic systems to obtain both proprioceptive and external perception for effective usage. This review summarizes the latest advancements in flexible sensing feedback technologies for soft robotic applications. It begins with an introduction to the development of various flexible sensors for soft robots, followed by an in‐depth exploration of smart materials and advanced manufacturing methods. A detailed description of flexible sensing modalities and methodologies is also included in the review to illustrate the continuous breakthrough of the technology. In addition, the applications of soft robots based on these advanced sensing technologies are concluded as well. The challenges of flexible sensing technologies for soft robots and promising solutions are finally discussed and analyzed to provide a prospect for future development. By examining the recent advances in intelligent flexible sensing technologies, this review is dedicated to highlighting the potential of soft robotics and motivating innovation within the field.

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