2022
DOI: 10.3389/frobt.2022.800232
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Visual Haptic Feedback for Training of Robotic Suturing

Abstract: Current surgical robotic systems are teleoperated and do not have force feedback. Considerable practice is required to learn how to use visual input such as tissue deformation upon contact as a substitute for tactile sense. Thus, unnecessarily high forces are observed in novices, prior to specific robotic training, and visual force feedback studies demonstrated reduction of applied forces. Simulation exercises with realistic suturing tasks can provide training outside the operating room. This paper presents co… Show more

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Cited by 11 publications
(5 citation statements)
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References 38 publications
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“…The Suture-Assist device is the only known training tool to facilitate proper needle orientation and real-time feedback of tissue topography in laparoscopic suturing. [21][22][23] The design principles are unique in that they take advantage of haptic and visual feedback via 3Dprinted elements.…”
Section: Discussionmentioning
confidence: 99%
“…The Suture-Assist device is the only known training tool to facilitate proper needle orientation and real-time feedback of tissue topography in laparoscopic suturing. [21][22][23] The design principles are unique in that they take advantage of haptic and visual feedback via 3Dprinted elements.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the relevance of haptic feedback in robot-assisted performances of surgical tasks is yet to be proved. It has been hypothesized that visual feedback of local tissue deformation caused by tension, retraction, or needle insertion can compensate for the lack of sensory force feedback [20]. The 3-D display system can provide this high-definition visual feedback, but further improvement is required in this aspect.…”
Section: A 3-d Visual Feedback Systemmentioning
confidence: 99%
“…This method, first presented for SOFA in [17], relies on a representation based on three-dimensionnal Timoschenko beam theory [18] and a specific corotational formulation to account for large displacements [19,20]. It is implemented within the BeamAdapter 4 plugin of the SOFA framework.…”
Section: Fem Model Of Beams In Sofamentioning
confidence: 99%