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  • Open Access

    REVIEW

    3D Printed Hydrogels for Soft Robotic Applications

    Kunlin Wu, Jingcheng Xiao, Junwei Li, Yifan Wang*

    Journal of Polymer Materials, Vol.42, No.2, pp. 277-305, 2025, DOI:10.32604/jpm.2025.065269 - 14 July 2025

    Abstract The integration of 3D-printed hydrogels in soft robotics enables the creation of flexible, adaptable, and biocompatible systems. Hydrogels, with their high-water content and responsiveness to stimuli, are suitable for actuators, sensors, and robotic systems that require safe interaction and precise manipulation. Unlike traditional techniques, 3D printing offers enhanced capabilities in tailoring structural complexity, resolution, and integrated functionality, enabling the direct fabrication of hydrogel systems with programmed mechanical and functional properties. In this perspective, we explore the evolving role of 3D-printed hydrogels in soft robotics, covering their material composition, fabrication techniques, and diverse applications. We highlight More >

  • Open Access

    ARTICLE

    Realization of Deep Learning Based Embedded Soft Sensor for Bioprocess Application

    V. V. S. Vijaya Krishna1,*, N. Pappa1, S. P. Joy Vasantharani2

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 781-794, 2022, DOI:10.32604/iasc.2022.022181 - 17 November 2021

    Abstract Industries use soft sensors for estimating output parameters that are difficult to measure on-line. These parameters can be determined by laboratory analysis which is an offline task. Now a days designing Soft sensors for complex nonlinear systems using deep learning training techniques has become popular, because of accuracy and robustness. There is a need to find pertinent hardware for realizing soft sensors to make it portable and can be used in the place of general purpose PC. This paper aims to propose a new strategy for realizing a soft sensor using deep neural networks (DNN)… More >

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