The DOI matches its Crossref record; 290 of the 290 references it cites were found in a registry or an index.
Materials, Actuators, and Sensors for Soft Bioinspired Robots
Abstract
Biological systems can perform complex tasks with high compliance levels. This makes them a great source of inspiration for soft robotics. Indeed, the union of these fields has brought about bioinspired soft robotics, with hundreds of publications on novel research each year. This review aims to survey fundamental advances in bioinspired soft actuators and sensors with a focus on the progress between 2017 and 2020, providing a primer for the materials used in their design.
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Cites
Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
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Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
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Double-slit photoelectron interference in strong-field ionization of the neon dimer
Kunitski, M., Eicke, N., Huber, P., Köhler, J., Zeller, S., Voigtsberger, J., Schlott, N., Henrichs, K., Sann, H., Trinter, F., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07882-8 · Cited by 8,162
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Structural absorption by barbule microstructures of super black bird of paradise feathers
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Design, fabrication and control of soft robots
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Cited by
Zhao, Y., Li, B., Zhong, M., Fan, H., Li, Z., Lyu, S., Xing, X., & Qin, W. (2025) · Science China Materials · doi:10.1007/s40843-024-3188-4 · Cited by 85
Metadata
- Authors
- Ilami, M., Bagheri, H., Ahmed, R., Skowronek, E. O., & Marvi, H.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-12-21
- Volume
- 33
- Issue
- 19
- Pages
- e2003139-e2003139
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3117219792
- Cited by
- 435
- References
- 290
- FWCI
- 14.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ilami, M., Bagheri, H., Ahmed, R., Skowronek, E. O., & Marvi, H. (2021). Materials, Actuators, and Sensors for Soft Bioinspired Robots. Advanced Materials. https://doi.org/10.1002/adma.202003139
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.