The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Stiffness Control of Surgical Continuum Manipulators
Open accessAbstract
This paper introduces the first stiffness controller for continuum robots. The control law is based on an accurate approximation of a continuum robot's coupled kinematic and static force model. To implement a desired tip stiffness, the controller drives the actuators to positions corresponding to a deflected robot configuration that produces the required tip force for the measured tip position. This approach provides several important advantages. First, it enables the use of robot deflection sensing as a means to both sense and control tip forces. Second, it enables stiffness control to be implemented by modification of existing continuum robot position controllers. The proposed controller is demonstrated experimentally in the context of a concentric tube robot. Results show that the stiffness controller achieves the desired stiffness in steady state, provides good dynamic performance, and exhibits stability during contact transitions.
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Citations
Cites
Impedance Control: An Approach to Manipulation: Part I—Theory
Hogan, N. (1985) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3140702 · Cited by 3,673
Cited by
Ferromagnetic soft continuum robots
Kim, Y., Parada, G. A., Liu, S., & Zhao, X. (2019) · Science Robotics · doi:10.1126/scirobotics.aax7329 · Cited by 1,312
Metadata
- Authors
- Mahvash, M., & Dupont, P. E.
- Venue
- IEEE Transactions on Robotics
- Published
- 2011-04
- Volume
- 27
- Issue
- 2
- Pages
- 334-345
- ISSN
- 1552-3098 (ISSN-L)
- 1941-0468
- OpenAlex
- W2133231729
- Cited by
- 265
- References
- 1
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- green
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- Mahvash, M., & Dupont, P. E. (2011). Stiffness Control of Surgical Continuum Manipulators. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2011.2105410
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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.