Emerging Trends in Soft Robotics and Bioinspired Technologies

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: 15 June 2026 | Viewed by 795

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Interests: microfabrication; polymers; lab-on-a-chip; MEMS; biomimetic adhesives; composites; additive manufacturing
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Special Issue Information

Dear Colleagues,

There has been an explosion of interest in soft robotics over the past 15 years as multiple groups take inspiration from natural materials and living organisms for robotics applications.  In recent years, electrically driven soft robotics, soft robotics with mechanical or fluidic logic, sustainable soft robotics, and biohybrid robotics have become increasingly common. New methods to additively manufacture, or integrate multiple materials in a single process, have broadened the type of systems developed by the field.  There is also a higher emphasis on novel applications and accessibility of research via easily reproduced or low-cost manufacturing processes. This special issue will highlight and examine some of the emerging themes in soft and bioinspired technologies with a focus on microscale or microfabrication aspects.  Some non-exclusive themes of interest include multi-material integration, embodied intelligence/microfluidic logic, cost reduction (processes or materials), additive manufacturing of soft robotics, bio-hybrid robots, as well as shape and stiffness tunable materials for soft robotics.  We kindly invite researchers of all career stages to submit articles that highlight some of these emerging topics for publication in this Special Issue of Micromachines.

Prof. Dr. Dan Sameoto
Guest Editor

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Keywords

  • soft robotics
  • additive manufacturing
  • bio-hybrid robotics
  • embodied intelligence
  • artificial muscles
  • untethered operation
  • bioinspired
  • composites
  • democratization of research
  • sustainability

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Published Papers (1 paper)

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Research

25 pages, 2904 KB  
Article
Modeling and Design of a Soft Capacitive Slip Sensor with Fluid Dielectric Interlayer
by Elia Landi, Tommaso Lisini Baldi, Michele Pallaoro, Federico Micheletti, Federico Carli and Ada Fort
Micromachines 2026, 17(3), 349; https://doi.org/10.3390/mi17030349 - 12 Mar 2026
Viewed by 377
Abstract
This paper presents the design, modeling, and experimental validation of a capacitive tactile sensor specifically conceived to sense shear-driven contact dynamics in robotic manipulation. The proposed device is a layered flexible capacitive structure, in which controlled tangential interactions are induced. The electrode design [...] Read more.
This paper presents the design, modeling, and experimental validation of a capacitive tactile sensor specifically conceived to sense shear-driven contact dynamics in robotic manipulation. The proposed device is a layered flexible capacitive structure, in which controlled tangential interactions are induced. The electrode design maximizes sensitivity to shear motion and promotes an isotropic response with respect to slip direction, thereby addressing two key limitations that affect the majority of existing slip-sensing technologies. An analytical model was developed to describe the essential relationship between shear-induced displacements and the electrical response, providing insight into the design parameters and supporting the selection of geometry and materials. To test the sensor in real conditions, a dedicated capacitive readout circuit based on high-frequency excitation and synchronous demodulation was developed to robustly acquire capacitance variations while rejecting static offsets and parasitic effects. Several formulations for the interposed dielectric layer material were investigated, including viscous fluids and composite mixtures with high-permittivity nanoparticles, with the aim of improving electrical sensitivity while preserving mechanical stability. Experimental results obtained under controlled loading and sliding conditions demonstrate that the sensor is highly sensitive to changes in contact state and tangential interaction dynamics. The sensor responded consistently to both load-induced shear and slip-related phenomena, enabling the reliable monitoring of contact dynamics rather than binary slip detection. A proof-of-concept integration into a robotic finger confirms the suitability of the proposed approach for grasp monitoring. Full article
(This article belongs to the Special Issue Emerging Trends in Soft Robotics and Bioinspired Technologies)
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