The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Soft Robotics: A Perspective—Current Trends and Prospects for the Future
Abstract
Abstract Soft robots are primarily composed of easily deformable matter such as fluids, gels, and elastomers that match the elastic and rheological properties of biological tissue and organs. Like an octopus squeezing through a narrow opening or a caterpillar rolling through uneven terrain, a soft robot must adapt its shape and locomotion strategy for a broad range of tasks, obstacles, and environmental conditions. This emerging class of elastically soft, versatile, and biologically inspired machines represents an exciting and highly interdisciplinary paradigm in engineering that could revolutionize the role of robotics in healthcare, field exploration, and cooperative human assistance.
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
Muscular Thin Films for Building Actuators and Powering Devices
Feinberg, A. W., Feigel, A., Shevkoplyas, S. S., Sheehy, S., Whitesides, G. M., & Parker, K. K. (2007) · Science · doi:10.1126/science.1146885 · Cited by 765
Cited by
Design, fabrication and control of soft robots
Rus, D., & Tolley, M. T. (2015) · Nature · doi:10.1038/nature14543 · Cited by 5,825
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504755 · Cited by 3,202
Soft Actuators for Small-Scale Robotics
Hines, L., Petersen, K., Lum, G. Z., & Sitti, M. (2017) · Advanced Materials · doi:10.1002/adma.201603483 · Cited by 1,337
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
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
Metadata
- Authors
- Majidi, C.
- Venue
- Soft Robotics
- Publisher
- SAGE Publications
- Published
- 2014-03
- Volume
- 1
- Issue
- 1
- Pages
- 5-11
- ISSN
- 2169-5172 (ISSN-L)
- 2169-5180
- OpenAlex
- W1826399803
- Cited by
- 1,302
- References
- 1
- FWCI
- 22.67
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Soft Robotics: A Perspective—Current Trends and Prospects for the Future. https://app.cochat.ai/papers/10.1089/soro.2013.0001
- The paper
- Majidi, C. (2014). Soft Robotics: A Perspective—Current Trends and Prospects for the Future. Soft Robotics. https://doi.org/10.1089/soro.2013.0001
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.