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Cited by 200

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Modeling of needle insertion forces for robot-assisted percutaneous therapy

Simone, C., Okamura, A.M.·2003·Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292)

Abstract

Force information from needle insertions was measured and modeled for use in robot-assisted percutaneous therapies. Data was collected on bovine livers using the Johns Hopkins University Steady Hand Robot, and modeled in three parts: force due to capsule stiffness, friction, and cutting. Capsule stiffness is modeled by a nonlinear spring model, friction by a modified Karnopp model, and cutting by the remaining forces, which appear to be constant for a given tissue sample. During robot-assisted procedures, real-time force data can be compared to these models to control puncture of interior structures.

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Crossref · 10.1109/robot.2002.1014848

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Metadata

Authors
Simone, C., & Okamura, A. M.
Venue
Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292)
Publisher
IEEE
Published
2003-06-25
Volume
2
Pages
2085-2091
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2170354816
Cited by
200
References
2
FWCI
22.07
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling of needle insertion forces for robot-assisted percutaneous therapy. https://app.cochat.ai/papers/10.1109/robot.2002.1014848
The paper
Simone, C., & Okamura, A. M. (2003). Modeling of needle insertion forces for robot-assisted percutaneous therapy. Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292). https://doi.org/10.1109/robot.2002.1014848

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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.