The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An Overview of Soft Robotics
Open accessAbstract
Soft robots’ flexibility and compliance give them the potential to outperform traditional rigid-bodied robots while performing multiple tasks in unexpectedly changing environments and conditions. However, soft robots are yet to reveal their full potential; nature is still far more advanced in several areas, such as locomotion and manipulation. To understand what limits their performance and hinders their transition from laboratory to real-world conditions, future studies should focus on understanding the principles behind the design and operation of soft robots. Such studies should also consider the major challenges with regard to complex materials, accurate modeling, advanced control, and intelligent behaviors. As a starting point for such studies, this review provides a current overview of the field by examining the working mechanisms of advanced actuation and sensing modalities, modeling techniques, control strategies, and learning architectures for soft robots. Next, we summarize how these approaches can be applied to create sophisticated soft robots and examine their application areas. Finally, we provide future perspectives on what key challenges should be tackled first to advance soft robotics to truly add value to our society.
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Citations
Cites
Design, fabrication and control of soft robots
Rus, D., & Tolley, M. T. (2015) · Nature · doi:10.1038/nature14543 · Cited by 5,825
Soft robotics: a bioinspired evolution in robotics
Kim, S., Laschi, C., & Trimmer, B. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.03.002 · Cited by 2,092
Hydraulically amplified self-healing electrostatic actuators with muscle-like performance
Acome, E., Mitchell, S. K., Morrissey, T. G., Emmett, M. B., Benjamin, C., King, M., Radakovitz, M., & Keplinger, C. (2018) · Science · doi:10.1126/science.aao6139 · Cited by 1,072
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
A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback
Gu, G., Zhang, N., Xu, H., Lin, S., Yu, Y., Chai, G., Ge, L., Yang, H., Shao, Q., Sheng, X., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00767-0 · Cited by 431
Cited by
Hegde, C., Su, J., Tan, J. M. R., He, K., Chen, X., & Magdassi, S. (2023) · ACS Nano · doi:10.1021/acsnano.3c04089 · Cited by 384
Robot Model Identification and Learning: A Modern Perspective
Lee, T., Kwon, J., Wensing, P. M., & Park, F. C. (2024) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-061523-102310 · Cited by 34
Metadata
- Authors
- Yasa, O., Toshimitsu, Y., Michelis, M. Y., Jones, L. S., Filippi, M., Buchner, T., & Katzschmann, R. K.
- Venue
- Annual Review of Control, Robotics, and Autonomous Systems
- Publisher
- Annual Reviews
- Published
- 2023-05-03
- Volume
- 6
- Issue
- 1
- Pages
- 1-29
- ISSN
- 2573-5144 (ISSN-L)
- OpenAlex
- W4308945982
- Cited by
- 290
- References
- 5
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Yasa, O., Toshimitsu, Y., Michelis, M. Y., Jones, L. S., Filippi, M., Buchner, T., & Katzschmann, R. K. (2023). An Overview of Soft Robotics. Annual Review of Control, Robotics, and Autonomous Systems. https://doi.org/10.1146/annurev-control-062322-100607
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