The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Ferromagnetic soft continuum robots
Abstract
A submillimeter-scale, soft continuum robot navigates through highly constrained environments by steering based on magnetic actuation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Small-scale soft-bodied robot with multimodal locomotion
Hu, W., Lum, G. Z., Mastrangeli, M., & Sitti, M. (2018) · Nature · doi:10.1038/nature25443 · Cited by 2,372
Printing ferromagnetic domains for untethered fast-transforming soft materials
Kim, Y., Yuk, H., Zhao, R., Chester, S. A., & Zhao, X. (2018) · Nature · doi:10.1038/s41586-018-0185-0 · Cited by 2,183
Self-citationThe viscosity of a concentrated suspension of spherical particles
Mooney, M. (1951) · Journal of Colloid Science · doi:10.1016/0095-8522(51)90036-0 · Cited by 1,725
Soft robotics: Technologies and systems pushing the boundaries of robot abilities
Laschi, C., Mazzolai, B., & Cianchetti, M. (2016) · Science Robotics · doi:10.1126/scirobotics.aah3690 · Cited by 1,570 · cited 1×
“Recently, burgeoning efforts have been made to use soft-bodied robots in the medical domain, with great expectations for enhanced safety due to their inherent compliance (1, 3, 23, 24).”
BackgroundContinuum Robots for Medical Applications: A Survey
Burgner-Kahrs, J., Rucker, D. C., & Choset, H. (2015) · IEEE Transactions on Robotics · doi:10.1109/tro.2015.2489500 · Cited by 1,557
Biomedical applications of soft robotics
Cianchetti, M., Laschi, C., Menciassi, A., & Dario, P. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0022-y · Cited by 1,435
The grand challenges of Science Robotics
Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aar7650 · Cited by 1,177
OctoMag: An Electromagnetic System for 5-DOF Wireless Micromanipulation
Kummer, M. P., Abbott, J. J., Kratochvil, B. E., Borer, R., Sengul, A., & Nelson, B. J. (2010) · IEEE Transactions on Robotics · doi:10.1109/tro.2010.2073030 · Cited by 1,161
Rich, S. I., Wood, R. J., & Majidi, C. (2018) · Nature Electronics · doi:10.1038/s41928-018-0024-1 · Cited by 1,022
A review of particulate reinforcement theories for polymer composites
Ahmed, S., & Jones, F. R. (1990) · Journal of Materials Science · doi:10.1007/bf00580110 · Cited by 781
Shape-programmable magnetic soft matter
Lum, G. Z., Ye, Z., Dong, X., Marvi, H., Erin, O., Hu, W., & Sitti, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608193113 · Cited by 650
Mechanics of hard-magnetic soft materials
Zhao, R., Kim, Y., Chester, S. A., Sharma, P., & Zhao, X. (2019) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2018.10.008 · Cited by 563
Self-citationSoft Robotics in Minimally Invasive Surgery
Runciman, M., Darzi, A., & Mylonas, G. P. (2019) · Soft Robotics · doi:10.1089/soro.2018.0136 · Cited by 540
Multifunctional “Hydrogel Skins” on Diverse Polymers with Arbitrary Shapes
Yu, Y., Yuk, H., Parada, G. A., Wu, Y., Liu, X., Nabzdyk, C. S., Youcef‐Toumi, K., Zang, J., & Zhao, X. (2019) · Advanced Materials · doi:10.1002/adma.201807101 · Cited by 482
Self-citationMiniature soft robots — road to the clinic
Sitti, M. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0001-3 · Cited by 366
Jeon, S., Hoshiar, A. K., Kim, K., Lee, S., Kim, E., Lee, S., Kim, J.-Y., Nelson, B. J., Cha, H.-J., Yi, B.-J., et al. (2019) · Soft Robotics · doi:10.1089/soro.2018.0019 · Cited by 301
Current and Emerging Robot-Assisted Endovascular Catheterization Technologies: A Review
Rafii-Tari, H., Payne, C. J., & Yang, G.-Z. (2014) · Annals of Biomedical Engineering · doi:10.1007/s10439-013-0946-8 · Cited by 288
Amplifying the response of soft actuators by harnessing snap-through instabilities
Overvelde, J. T. B., Kloek, T., D’haen, J. J. A., & Bertoldi, K. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504947112 · Cited by 283
Independent control of multiple magnetic microrobots in three dimensions
Diller, E., Giltinan, J., & Sitti, M. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913483183 · Cited by 267
Stiffness Control of Surgical Continuum Manipulators
Mahvash, M., & Dupont, P. E. (2011) · IEEE Transactions on Robotics · doi:10.1109/tro.2011.2105410 · Cited by 265
Configuration Tracking for Continuum Manipulators With Coupled Tendon Drive
Camarillo, D. B., Carlson, C. R., & Salisbury, J. K. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2022426 · Cited by 237
Magnetic control of continuum devices
Edelmann, J., Petruska, A. J., & Nelson, B. J. (2017) · The International Journal of Robotics Research · doi:10.1177/0278364916683443 · Cited by 194
Kinematic comparison of surgical tendon-driven manipulators and concentric tube manipulators
Li, Z., Wu, L., Ren, H., & Yu, H. (2017) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2016.09.018 · Cited by 186
Weng, L., Gouldstone, A., Wu, Y., & Chen, W. (2008) · Biomaterials · doi:10.1016/j.biomaterials.2008.01.012 · Cited by 175
Steerable catheters in minimally invasive vascular surgery
Fu, Y., Liu, H., Huang, W., Wang, S., & Liang, Z. (2009) · International Journal of Medical Robotics and Computer Assisted Surgery · doi:10.1002/rcs.282 · Cited by 149
Spatially selective remote magnetic actuation of identical helical micromachines
Rahmer, J., Stehning, C., & Gleich, B. (2017) · Science Robotics · doi:10.1126/scirobotics.aal2845 · Cited by 149
Increasing the Dimensionality of Soft Microstructures through Injection‐Induced Self‐Folding
Ranzani, T., Russo, S., Bartlett, N. W., Wehner, M. F., & Wood, R. J. (2018) · Advanced Materials · doi:10.1002/adma.201802739 · Cited by 105
Guiding Elastic Rods With a Robot-Manipulated Magnet for Medical Applications
Kratchman, L. B., Bruns, T. L., Abbott, J. J., & Webster, R. J., III (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2623339 · Cited by 92
Omnimagnet: An Omnidirectional Electromagnet for Controlled Dipole-Field Generation
Petruska, A. J., & Abbott, J. J. (2014) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2014.2303784 · Cited by 73
Perspective review on applications of optics in cerebral endovascular neurosurgery
Pasarikovski, C. R., Cardinell, J., & Yang, V. X. D. (2019) · Journal of Biomedical Optics · doi:10.1117/1.jbo.24.3.030601 · Cited by 71
Impermeable Robust Hydrogels via Hybrid Lamination
Parada, G. A., Yuk, H., Liu, X., Hsieh, A. J., & Zhao, X. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201700520 · Cited by 68
Self-citationMenaker, S., Shah, S. S., Snelling, B., Sur, S., Starke, R. M., & Peterson, E. C. (2017) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2017-013284 · Cited by 65
Estimation-Based Control of a Magnetic Endoscope without Device Localization
Edelmann, J., Petruska, A. J., & Nelson, B. J. (2017) · Journal of Medical Robotics Research · doi:10.1142/s2424905x18500022 · Cited by 65
Accurate modeling and positioning of a magnetically controlled catheter tip
Le, V. N. T., Nguyen, N. H., Alameh, K., Weerasooriya, R., & Pratten, P. (2016) · Medical Physics · doi:10.1118/1.4939228 · Cited by 63
Magnetic versus manual guidewire manipulation in neuroradiology: in vitro results
Krings, T., Finney, J., Niggemann, P., Reinacher, P. C., Lück, N., Drexler, A. Y., Lovell, J. F., Meyer, A., Sehra, R., SCHAUERTE, P. N., et al. (2006) · Neuroradiology · doi:10.1007/s00234-006-0082-3 · Cited by 54
Testing the cytotoxicity of metal alloys used as magnetic prosthetic devices
Hopp, M., Rogaschewski, S., & Groth, T. (2003) · Journal of Materials Science Materials in Medicine · doi:10.1023/a:1022931915709 · Cited by 37
Designing, Prototyping, and Testing a Flexible Suturing Robot for Transanal Endoscopic Microsurgery
Hu, Y., Li, W., Zhang, L., & Yang, G. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2896883 · Cited by 34
Wang, F., Yong, X., Deng, J., & Wu, Y. (2018) · RSC Advances · doi:10.1039/c8ra01167b · Cited by 30
Reconsidering Six-Degree-of-Freedom Magnetic Actuation Across Scales
Thornley, C. R., Pham, L. N., & Abbott, J. J. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2902742 · Cited by 21
Cited by
Soft Materials by Design: Unconventional Polymer Networks Give Extreme Properties
Zhao, X., Chen, X., Yuk, H., Lin, S., Liu, X., & Parada, G. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01088 · Cited by 1,161
Self-citationMagnetic Soft Materials and Robots
Kim, Y., & Zhao, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00481 · Cited by 873
Self-citation3D printing of highly stretchable hydrogel with diverse UV curable polymers
Ge, Q., Chen, Z., Cheng, J., Zhang, B., Zhang, Y.-F., Li, H., He, X., Yuan, C., Liu, J., Magdassi, S., et al. (2021) · Science Advances · doi:10.1126/sciadv.aba4261 · Cited by 518
Zhu, Z., Ng, D. W. H., Park, H. S., & McAlpine, M. C. (2020) · Nature Reviews Materials · doi:10.1038/s41578-020-00235-2 · Cited by 348
Wang, Q., Chan, K. F., Schweizer, K., Du, X., Jin, D., Yu, S. C. H., Nelson, B. J., & Zhang, L. (2021) · Science Advances · doi:10.1126/sciadv.abe5914 · Cited by 348
Metadata
- Authors
- Kim, Y., Parada, G. A., Liu, S., & Zhao, X.
- Venue
- Science Robotics
- Published
- 2019-08-21
- Volume
- 4
- Issue
- 33
- ISSN
- 2470-9476 (ISSN-L)
- OpenAlex
- W2971278234
- Cited by
- 1,312
- References
- 39
- FWCI
- 38.06
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
