2022
DOI: 10.1002/rcs.2384
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Visual servoing of continuum robots: Methods, challenges, and prospects

Abstract: Background Recent advancements in continuum robotics have accentuated developing efficient and stable controllers to handle shape deformation and compliance. The control of continuum robots (CRs) using physical sensors attached to the robot, particularly in confined spaces, is difficult due to their limited accuracy in three‐dimensional deflections and challenging localisation. Therefore, using non‐contact imaging sensors finds noticeable importance, particularly in medical scenarios. Accordingly, given the ne… Show more

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Cited by 17 publications
(6 citation statements)
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References 124 publications
(574 reference statements)
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“…There have been numerous reports on continuum robots in the past few years. [29,55,75,107,108,188,250,[297][298][299] These reports provide detailed discussions on the actuation, structure, sensing, and control of continuum robots. However, unlike previous reviews, this article focuses primarily on the requirements of arthroscopic continuum robots.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…There have been numerous reports on continuum robots in the past few years. [29,55,75,107,108,188,250,[297][298][299] These reports provide detailed discussions on the actuation, structure, sensing, and control of continuum robots. However, unlike previous reviews, this article focuses primarily on the requirements of arthroscopic continuum robots.…”
Section: Discussionmentioning
confidence: 99%
“…This section explores the latest advancements in alternative emerging technologies for 3D shape sensing in this field, including methods for shape reconstruction based on flexible sensors, fiber-optic sensors, EM tracking, and intraoperative imaging modalities. [107,108]…”
Section: Sensingmentioning
confidence: 99%
“…The control of MCRs could be divided into three layers according to their autonomous level. [27,[216][217][218] The first layer with low autonomy is defined as direct magnetic field control. In the layer, surgeons should simultaneously focus on magnetic field generation and real-time image feedback to make the decision.…”
Section: Control Strategymentioning
confidence: 99%
“…This is due both to the complexity and variability of the visual and physical environment of the endoscope, and to the soft robot's dynamic behavior. [47] There is, however, a clear trend toward supervised autonomous actions of robotic endoscopes, as visual servoing has shown the potential to automate repetitive tasks such as wound closure and anastomosis. [48] Our main contributions to this article include: 1) the design of a fully functional magnetic fetoscope, 2) the derivation and implementation of a dedicated visual servoing approach for navigating magnetic devices with a distal camera, 3) a method to update the Jacobian matrix that captures the variability of the physical environment due to changes in fetoscope strain or inaccuracies in the eMNS, as well as 4) a demonstration of these contributions by performing a semi-automated magnetically guided ablation on ex vivo human placentas in a setting that mimics the environment of a conventional procedure.…”
Section: Doi: 101002/aisy202200182mentioning
confidence: 99%