The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Bioinspired Triboelectric Nanogenerators as Self‐Powered Electronic Skin for Robotic Tactile Sensing
Abstract
Electronic skin (e‐skin) has been under the spotlight due to great potential for applications in robotics, human–machine interfaces, and healthcare. Meanwhile, triboelectric nanogenerators (TENGs) have been emerging as an effective approach to realize self‐powered e‐skin sensors. In this work, bioinspired TENGs as self‐powered e‐skin sensors are developed and their applications for robotic tactile sensing are also demonstrated. Through the facile replication of the surface morphology of natural plants, the interlocking microstructures are generated on tribo‐layers to enhance triboelectric effects. Along with the adoption of polytetrafluoroethylene (PTFE) tinny burrs on the microstructured tribo‐surface, the sensitivity for pressure measurement is boosted with a 14‐fold increase. The tactile sensing capability of the TENG e‐skin sensors are demonstrated through the characterizations of handshaking pressure and bending angles of each finger of a bionic hand during handshaking with human. The TENG e‐skin sensors can also be utilized for tactile object recognition to measure surface roughness and discern hardness. The facile fabrication scheme of the self‐powered TENG e‐skin sensors enables their great potential for applications in robotic dexterous manipulation, prosthetics, human–machine interfaces, etc.
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Cites
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
Materials and Mechanics for Stretchable Electronics
Rogers, J. A., Someya, T., & Huang, Y. (2010) · Science · doi:10.1126/science.1182383 · Cited by 5,042
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Self-citationSkin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.184 · Cited by 3,188
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Pursuing prosthetic electronic skin
Chortos, A., Liu, J., & Bao, Z. (2016) · Nature Materials · doi:10.1038/nmat4671 · Cited by 2,396
Coding and use of tactile signals from the fingertips in object manipulation tasks
Johansson, R. S., & Flanagan, J. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2621 · Cited by 2,063
Flexible Nanogenerators for Energy Harvesting and Self‐Powered Electronics
Fan, F. R., Tang, W., & Wang, Z. L. (2016) · Advanced Materials · doi:10.1002/adma.201504299 · Cited by 1,918
Self-citationSkin-inspired highly stretchable and conformable matrix networks for multifunctional sensing
Hua, Q., Sun, J., Liu, H., Bao, R., Yu, R., Zhai, J., Pan, C., & Wang, Z. L. (2018) · Nature Communications · doi:10.1038/s41467-017-02685-9 · Cited by 1,413
Self-citationHighly Conductive and Stretchable Silver Nanowire Conductors
Xu, F., & Zhu, Y. (2012) · Advanced Materials · doi:10.1002/adma.201201886 · Cited by 1,314
Cited by
Materials, Actuators, and Sensors for Soft Bioinspired Robots
Ilami, M., Bagheri, H., Ahmed, R., Skowronek, E. O., & Marvi, H. (2021) · Advanced Materials · doi:10.1002/adma.202003139 · Cited by 435
Wu, H., Yang, G., Zhu, K., Liu, S., Guo, W., Jiang, Z., & Li, Z. (2021) · Advanced Science · doi:10.1002/advs.202001938 · Cited by 395
Self-citationEnhancement of Triboelectric Charge Density by Chemical Functionalization
Liu, Y., Mo, J., Fu, Q., Lu, Y., Zhang, N., Wang, S., & Nie, S. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202004714 · Cited by 386
Zhang, Q., Jin, T., Cai, J., Xu, L., He, T., Wang, T., Tian, Y., Li, L., Peng, Y., & Lee, C. (2022) · Advanced Science · doi:10.1002/advs.202103694 · Cited by 386
Self-citationYan, Z., Wang, L., Xia, Y., Qiu, R., Liu, W., Wu, M., Zhu, Y., Zhu, S., Jia, C., Zhu, M., et al. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202100709 · Cited by 293
Metadata
- Authors
- Yao, G., Xu, L., Cheng, X., Li, Y., Huang, X., Guo, W., Liu, S., Wang, Z. L., & Wu, H.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-11-14
- Volume
- 30
- Issue
- 6
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2989285151
- Cited by
- 388
- References
- 51
- FWCI
- 13.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yao, G., Xu, L., Cheng, X., Li, Y., Huang, X., Guo, W., Liu, S., Wang, Z. L., & Wu, H. (2020). Bioinspired Triboelectric Nanogenerators as Self‐Powered Electronic Skin for Robotic Tactile Sensing. Advanced Functional Materials. https://doi.org/10.1002/adfm.201907312
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