The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
Biomedical Applications of Untethered Mobile Milli/Microrobots
Open accessAbstract
Untethered robots miniaturized to the length scale of millimeter and below attract growing attention for the prospect of transforming many aspects of health care and bioengineering. As the robot size goes down to the order of a single cell, previously inaccessible body sites would become available for high-resolution in situ and in vivo manipulations. This unprecedented direct access would enable an extensive range of minimally invasive medical operations. Here, we provide a comprehensive review of the current advances in biomedical untethered mobile milli/microrobots. We put a special emphasis on the potential impacts of biomedical microrobots in the near future. Finally, we discuss the existing challenges and emerging concepts associated with designing such a miniaturized robot for operation inside a biological environment for biomedical applications.
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Whitesides, G. M., & Grzybowski, B. (2002) · Science · doi:10.1126/science.1070821 · Cited by 7,439
Stimuli-responsive nanocarriers for drug delivery
Mura, S., Nicolas, J., & Couvreur, P. (2013) · Nature Materials · doi:10.1038/nmat3776 · Cited by 6,289
Purcell, E. M. (1977) · American Journal of Physics · doi:10.1119/1.10903 · Cited by 4,360
Bacterial Quorum Sensing: Its Role in Virulence and Possibilities for Its Control
Rutherford, S. T., & Bassler, B. L. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a012427 · Cited by 2,129
Catalytic Nanomotors: Autonomous Movement of Striped Nanorods
Paxton, W. F., Kistler, K. C., Olmeda, C. C., Sen, A., St. Angelo, S. K., Cao, Y., Mallouk, T. E., Lammert, P. E., & Crespi, V. H. (2004) · Journal of the American Chemical Society · doi:10.1021/ja047697z · Cited by 2,128
Microrobots for Minimally Invasive Medicine
Nelson, B. J., Kaliakatsos, I. K., & Abbott, J. J. (2010) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-010510-103409 · Cited by 1,968
Behl, M., & Lendlein, A. (2007) · Materials Today · doi:10.1016/s1369-7021(07)70047-0 · Cited by 1,965
Microscopic artificial swimmers
Dreyfus, R., Baudry, J., Roper, M. L., Fermigier, M., Stone, H. A., & Bibette, J. (2005) · Nature · doi:10.1038/nature04090 · Cited by 1,853
Microscale technologies for tissue engineering and biology
Khademhosseini, A., Langer, R., Borenstein, J., & Vacanti, J. P. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507681102 · Cited by 1,558
Programmable self-assembly in a thousand-robot swarm
Rubenstein, M., Cornejo, A., & Nagpal, R. (2014) · Science · doi:10.1126/science.1254295 · Cited by 1,308
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Yan, X., Zhou, Q., Vincent, M., Deng, Y., Yu, J., Xu, J., Xu, T., Tang, T., Bian, L., Wang, Y.-X. J., et al. (2017) · Science Robotics · doi:10.1126/scirobotics.aaq1155 · Cited by 893
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Xie, L., Pang, X., Yan, X., Dai, Q., Lin, H., Ye, J., Cheng, Y., Zhao, Q., Ma, X., Zhang, X., et al. (2020) · ACS Nano · doi:10.1021/acsnano.9b06731 · Cited by 261
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Metadata
- Authors
- Sitti, M., Ceylan, H., Hu, W., Giltinan, J., Turan, M., Yim, S., & Diller, E.
- Venue
- Proceedings of the IEEE
- Published
- 2015-02
- Volume
- 103
- Issue
- 2
- Pages
- 205-224
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W1976221960
- Cited by
- 893
- References
- 126
- FWCI
- 35.67
- Type
- journal article
- Language
- en
- Open access
- green
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- Sitti, M., Ceylan, H., Hu, W., Giltinan, J., Turan, M., Yim, S., & Diller, E. (2015). Biomedical Applications of Untethered Mobile Milli/Microrobots. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2014.2385105
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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).
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