Journal article
A variable stiffness robotic probe for soft tissue palpation
- Abstract:
- During abdominal palpation diagnosis, a medical practitioner would change the stiffness of their fingers in order to improve the detection of hard nodules or abnormalities in soft tissue to maximize the haptic information gain via tendons. Our recent experiments using a controllable stiffness robotic probe representing a human finger also confirmed that such stiffness control in the finger can enhance the accuracy of detecting hard nodules in soft tissue. However, the limited range of stiffness achieved by the antagonistic springs variable stiffness joint subject to size constraints made it unsuitable for a wide range of physical examination scenarios spanning from breast to abdominal examination. In this letter, we present a new robotic probe based on a variable lever mechanism able to achieve stiffness ranging from 0.64 to 1.06 N·m/rad that extends the maximum stiffness by around 16 times and the stiffness range by 33 times. This letter presents the mechanical model of the novel probe, the finite element simulation as well as experimental characterization of the stiffness response for lever actuation.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Accepted manuscript, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1109/LRA.2018.2793961
Authors
- Publisher:
- Institute of Electrical and Electronics Engineers
- Journal:
- IEEE Robotics and Automation Letters More from this journal
- Volume:
- 3
- Issue:
- 2
- Pages:
- 1168-1175
- Publication date:
- 2018-01-15
- Acceptance date:
- 2017-12-29
- DOI:
- ISSN:
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2377-3774
- Keywords:
- Pubs id:
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pubs:942844
- UUID:
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uuid:b423022d-4ece-4530-bcda-d374d5a77200
- Local pid:
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pubs:942844
- Source identifiers:
-
942844
- Deposit date:
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2018-11-16
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2018
- Notes:
- © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. This is the accepted manuscript version of the article. The final version is available online from IEEE at: 10.1109/LRA.2018.2793961
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