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Cited by 206

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Soft Micro- and Nanorobotics

Open access
Hu, Chengzhi, Pané, Salvador, Nelson, Bradley J.·2018·Annual Review of Control, Robotics, and Autonomous Systems

Abstract

Micro- and nanorobots can perform a number of tasks at small scales, such as minimally invasive diagnostics, targeted drug delivery, and localized surgery. During the past decade, the field has been transformed in many ways, one of the most significant being a transition from hard and rigid micro- and nanostructures to soft and flexible architectures. Inspired by the dynamics of flexible microorganisms, researchers have focused on developing miniaturized soft components such as actuators, sensors, hinges, joints, and reservoirs to create soft micro- and nanoswimmers. The use of organic structures such as polymers and supramolecular ensembles as functional components has brought more complex features to these devices, such as advanced locomotion strategies and stimulus-triggered shape transformations, as well as other capabilities. A variety of microorganisms and contractile mammalian cells have also been utilized as microengines and integrated with functional synthetic materials, producing bending or deformation of the functional materials to initiate motion. In this review, we consider several types of soft micro- and nanorobots in terms of their architecture and design, and we describe their locomotion mechanisms and applications.

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Metadata

Authors
Hu, C., Pané, S., & Nelson, B. J.
Venue
Annual Review of Control, Robotics, and Autonomous Systems
Published
2018-05-28
Volume
1
Issue
1
Pages
53-75
ISSN
2573-5144 (ISSN-L)
OpenAlex
W2791504335
Cited by
206
References
6
FWCI
1.48
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Soft Micro- and Nanorobotics. https://app.cochat.ai/papers/10.1146/annurev-control-060117-104947
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Hu, C., Pané, S., & Nelson, B. J. (2018). Soft Micro- and Nanorobotics. Annual Review of Control, Robotics, and Autonomous Systems. https://doi.org/10.1146/annurev-control-060117-104947

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.