The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
The challenges ahead for bio-inspired 'soft' robotics
Abstract
Soft materials may enable the automation of tasks beyond the capacities of current robotic technology.
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Citations
Cites
Wing, J. M. (2006) · Communications of the ACM · doi:10.1145/1118178.1118215 · Cited by 8,102
Thrun, S. (2002) · Communications of the ACM · doi:10.1145/504729.504754 · Cited by 7,994
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799
Computer vision: algorithms and applications
(2011) · Choice Reviews Online · doi:10.5860/choice.48-5140 · Cited by 3,911
Tactile Sensing—From Humans to Humanoids
Dahiya, R. S., Metta, G., Valle, M., & Sandini, G. (2010) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2033627 · Cited by 1,851
BigDog, the Rough-Terrain Quadruped Robot
Raibert, M., Blankespoor, K., Nelson, G., & Playter, R. (2008) · IFAC Proceedings Volumes · doi:10.3182/20080706-5-kr-1001.01833 · Cited by 1,495
Computer Vision: Algorithms and Applications
Szeliski, R. (2011) · Texts in Computer Science · doi:10.1007/978-1-84882-935-0 · Cited by 1,365
Self-Organization, Embodiment, and Biologically Inspired Robotics
Pfeifer, R., Lungarella, M., & Iida, F. (2007) · Science · doi:10.1126/science.1145803 · Cited by 1,227
Self-citationFrom Swimming to Walking with a Salamander Robot Driven by a Spinal Cord Model
Ijspeert, A. J., Crespi, A., Ryczko, D., & Cabelguen, J.-M. (2007) · Science · doi:10.1126/science.1138353 · Cited by 1,214
How the Body Shapes the Way We Think: A New View of Intelligence
Pfeifer, R., & Bongard, J. (2006) · Cited by 1,001
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Cited by
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
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
A 3D-printed, functionally graded soft robot powered by combustion
Bartlett, N. W., Tolley, M. T., Overvelde, J. T. B., Weaver, J. C., Mosadegh, B., Bertoldi, K., Whitesides, G. M., & Wood, R. J. (2015) · Science · doi:10.1126/science.aab0129 · Cited by 1,052
Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics
Park, H., Lee, Y., Kim, N., Seo, D., Go, G., & Lee, T. (2020) · Advanced Materials · doi:10.1002/adma.201903558 · Cited by 533
Information processing via physical soft body
Nakajima, K., Hauser, H., Li, T., & Pfeifer, R. (2015) · Scientific Reports · doi:10.1038/srep10487 · Cited by 324
Self-citation
Metadata
- Authors
- Pfeifer, R., Lungarella, M., & Iida, F.
- Venue
- Communications of the ACM
- Published
- 2012-11
- Volume
- 55
- Issue
- 11
- Pages
- 76-87
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2003653926
- Cited by
- 383
- References
- 38
- FWCI
- 13.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pfeifer, R., Lungarella, M., & Iida, F. (2012). The challenges ahead for bio-inspired 'soft' robotics. Communications of the ACM. https://doi.org/10.1145/2366316.2366335
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.
