The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Control Strategies for Soft Robotic Manipulators: A Survey
Open accessAbstract
With the rise of soft robotics technology and applications, there have been increasing interests in the development of controllers appropriate for their particular design. Being fundamentally different from traditional rigid robots, there is still not a unified framework for the design, analysis, and control of these high-dimensional robots. This review article attempts to provide an insight into various controllers developed for continuum/soft robots as a guideline for future applications in the soft robotics field. A comprehensive assessment of various control strategies and an insight into the future areas of research in this field are presented.
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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
Self-citationScheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Bengio, S., Vinyals, O., Jaitly, N., & Shazeer, N. (2015) · arXiv · doi:10.48550/arxiv.1506.03099 · Cited by 1,621
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 · cited 1×
“’’ This term is associated with two distinct design approaches: (1) compliant joints (active or passive) within rigid-link robots(1,2) and (2) continuum robotic manipulators.(3) The discussion in this article is restricted to the latter one.”
Self-citationDesign, kinematics, and control of a soft spatial fluidic elastomer manipulator
Marchese, A. D., & Rus, D. (2016) · The International Journal of Robotics Research · doi:10.1177/0278364915587925 · Cited by 330
A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm
Nakajima, K., Hauser, H., Kang, R., Guglielmino, E., Caldwell, D. G., & Pfeifer, R. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00091 · Cited by 180
Cited by
Electronic skins and machine learning for intelligent soft robots
Shih, B., Shah, D., Li, J., Thuruthel, T. G., Park, Y.-L., Iida, F., Bao, Z., Kramer-Bottiglio, R., & Tolley, M. T. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz9239 · Cited by 715
Self-citationSoft robot perception using embedded soft sensors and recurrent neural networks
Thuruthel, T. G., Shih, B., Laschi, C., & Tolley, M. T. (2019) · Science Robotics · doi:10.1126/scirobotics.aav1488 · Cited by 678
Self-citationSoft Robots Modeling: A Structured Overview
Armanini, C., Boyer, F., Mathew, A. T., Duriez, C., & Renda, F. (2023) · IEEE Transactions on Robotics · doi:10.1109/tro.2022.3231360 · Cited by 336
Finite Element Modeling of Soft Fluidic Actuators: Overview and Recent Developments
Xavier, M. S., Fleming, A. J., & Yong, Y. K. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202000187 · Cited by 313
Modeling, learning, perception, and control methods for deformable object manipulation
Yin, H., Varava, A., & Kragic, D. (2021) · Science Robotics · doi:10.1126/scirobotics.abd8803 · Cited by 299
Metadata
- Authors
- George Thuruthel, T., Ansari, Y., Falotico, E., & Laschi, C.
- Venue
- Soft Robotics
- Publisher
- SAGE Publications
- Published
- 2018-04
- Volume
- 5
- Issue
- 2
- Pages
- 149-163
- ISSN
- 2169-5172 (ISSN-L)
- 2169-5180
- OpenAlex
- W2782435507
- Cited by
- 645
- References
- 6
- FWCI
- 21.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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