The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Perching and takeoff of a robotic insect on overhangs using switchable electrostatic adhesion
Abstract
Making small robots stick: Aerial views offer the chance to observe a wide range of terrain at once, but they come at the cost of needing to stay aloft. Graule et al.found that electrostatic forces could keep their insect-sized flying robot stuck to the underside of a range of surfaces (see the Perspective by Kovac). They mounted an electrostatically charged pad to the top of their robot, which could then reversibly stick to existing elevated perches—including a leaf—using less power than would be needed for sustained flight. Science, this issue p.978; see also p.895
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Science, technology and the future of small autonomous drones
Floreano, D., & Wood, R. J. (2015) · Nature · doi:10.1038/nature14542 · Cited by 1,476
Self-citation
Cited by
Gu, G., Zou, J., Zhao, R., Zhao, X., & Zhu, X. (2018) · Science Robotics · doi:10.1126/scirobotics.aat2874 · Cited by 687
A biorobotic adhesive disc for underwater hitchhiking inspired by the remora suckerfish
Wang, Y., Yang, X., Chen, Y., Wainwright, D. K., Kenaley, C. P., Gong, Z., Liu, Z., Liu, H., Guan, J., Wang, T., et al. (2017) · Science Robotics · doi:10.1126/scirobotics.aan8072 · Cited by 308
Self-citation(2020) · doi:10.1017/9781108339216 · Cited by 2
Metadata
- Authors
- Graule, M. A., Chirarattananon, P., Fuller, S. B., Jafferis, N. T., Ma, K. Y., Spenko, M., Kornbluh, R., & Wood, R. J.
- Venue
- Science
- Published
- 2016-05-20
- Volume
- 352
- Issue
- 6288
- Pages
- 978-982
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2394925491
- Cited by
- 413
- References
- 1
- FWCI
- 39.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Graule, M. A., Chirarattananon, P., Fuller, S. B., Jafferis, N. T., Ma, K. Y., Spenko, M., Kornbluh, R., & Wood, R. J. (2016). Perching and takeoff of a robotic insect on overhangs using switchable electrostatic adhesion. Science. https://doi.org/10.1126/science.aaf1092
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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.
