2D materials for adaptive functionalities in soft robotics

Abstract

Two-dimensional (2D) materials are critical for applications in tactile perception, health monitoring, virtual reality (VR), augmented reality (AR) and human-machine interface. In particular, recent advances in materials science, device fabrication, machine learning have significantly propelled the applications of 2D materials for multifunctional soft robots due to their flexible and conformal nature. In this review, we provide an overview of the fundamental mechanisms and recent breakthroughs in 2D materials furnished soft robotic system, with a focus on their fabrication techniques, actuation mechanisms, multiple sensing approaches. Subsequently, we highlight the significance of 2D materials in multimodal devices and feedback loop control for intelligent and smart robotics with self-adaptive manipulation. We then explore innovations such as multimodal sensing, human-robots interaction and artificial intelligence (AI)-promoted fast recognition. Finally, we summarize the future research directions and challenges, such as the reliable preparation roadmap for 2D materials, and streamlined configuration to eradicate heavy wiring and enhance the dexterity for soft robots.

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Review Article
Submitted
29 mar 2025
Accepted
20 giu 2025
First published
23 giu 2025
This article is Open Access
Creative Commons BY-NC license

Mater. Horiz., 2025, Accepted Manuscript

2D materials for adaptive functionalities in soft robotics

Y. Li, A. J. Ong and P. S. Lee, Mater. Horiz., 2025, Accepted Manuscript , DOI: 10.1039/D5MH00565E

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements