The DOI matches its Crossref record; 188 of the 188 references it cites were found in a registry or an index.
Neuro-inspired electronic skin for robots
Open accessAbstract
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal, pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather and encode the large tactile data, allowing us to feel and perceive the real world. This efficient somatosensation far outperforms the touch-sensing capability of most of the state-of-the-art robots today and suggests the need for neural-like hardware for electronic skin (e-skin). This could be attained through either innovative schemes for developing distributed electronics or repurposing the neuromorphic circuits developed for other sensory modalities such as vision and audio. This Review highlights the hardware implementations of various computational building blocks for e-skin and the ways they can be integrated to potentially realize human skin–like or peripheral nervous system–like functionalities. The neural-like sensing and data processing are discussed along with various algorithms and hardware architectures. The integration of ultrathin neuromorphic chips for local computation and the printed electronics on soft substrate used for the development of e-skin over large areas are expected to advance robotic interaction as well as open new avenues for research in medical instrumentation, wearables, electronics, and neuroprosthetics.
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Cites
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Training and operation of an integrated neuromorphic network based on metal-oxide memristors
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An ultra-lightweight design for imperceptible plastic electronics
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“…hardware for e-Skin, this review complements previous review articles which have presented topics such as various types of tactile sensors ( 31-34 ), techniques and materials (for example, using liquid metal and hydrogel) to realize sensors in soft and flexible form factors ( 35, 36 ),…”
BackgroundPursuing prosthetic electronic skin
Chortos, A., Liu, J., & Bao, Z. (2016) · Nature Materials · doi:10.1038/nmat4671 · Cited by 2,396
Skin electronics from scalable fabrication of an intrinsically stretchable transistor array
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Towards spike-based machine intelligence with neuromorphic computing
Roy, K., Jaiswal, A., & Panda, P. (2019) · Nature · doi:10.1038/s41586-019-1677-2 · Cited by 2,190
Cited by
Neuromorphic sensorimotor loop embodied by monolithically integrated, low-voltage, soft e-skin
Wang, W., Jiang, Y., Zhong, D., Zhang, Z., Choudhury, S., Lai, J.-C., Gong, H., Niu, S., Yan, X., Zheng, Y., et al. (2023) · Science · doi:10.1126/science.ade0086 · Cited by 788
Sun, T., Feng, B., Huo, J., Xiao, Y., Wang, W., Peng, J., Li, Z., Du, C., Wang, W., Zou, G., et al. (2024) · Nano-Micro Letters · doi:10.1007/s40820-023-01235-x · Cited by 384
Toward an AI Era: Advances in Electronic Skins
Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172
Metadata
- Authors
- Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., & Dahiya, R.
- Venue
- Science Robotics
- Published
- 2022-06-29
- Volume
- 7
- Issue
- 67
- Pages
- eabl7344-eabl7344
- ISSN
- 2470-9476 (ISSN-L)
- OpenAlex
- W4282916920
- Cited by
- 300
- References
- 188
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- green
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