Literature DB >> 30976208

Modeling Tube Clearance and Bounding the Effect of Friction in Concentric Tube Robot Kinematics.

Junhyoung Ha1, Georgios Fagogenis1, Pierre E Dupont1.   

Abstract

The shape of a concentric tube robot depends not only on the relative rotations and translations of its constituent tubes, but also on the history of relative tube displacements. Existing mechanics-based models neglect all history-dependent phenomena with the result that when calibrated on experimental data collected over a robot's workspace, the maximum tip position error can exceed 8 mm for a 200-mm-long robot. In this paper, we develop a model that computes the bounding kinematic solutions in which Coulomb friction is acting either to maximize or minimize the relative twisting between each pair of contacting tubes. The path histories associated with these limiting cases correspond to first performing all tube translations and then performing relative tube rotations of sufficient angle so that the maximum Coulomb friction force is obtained along the interface of each contacting tube pair. The robot tip configurations produced by these path histories are shown experimentally to bound position error with respect to the estimated frictionless model compared to path histories comprised of translation or mixed translation and rotation. Intertube friction forces and torques are computed as proportional to the intertube contact forces. To compute these contact forces, the standard zero-clearance assumption that constrains the concentrically combined tubes to possess the same centerline is relaxed. The effects of clearance and friction are explored through numerical and physical experiments and it is shown that friction can explain much of the prediction error observed in existing models. This model is not intended for real-time control, but rather for path planning-to provide error bounds and to inform how the ordering of tube rotations and translations can be used to reduce the effect of friction.

Entities:  

Keywords:  Concentric tube robots; friction; model calibration; tube clearance

Year:  2018        PMID: 30976208      PMCID: PMC6453576          DOI: 10.1109/TRO.2018.2878906

Source DB:  PubMed          Journal:  IEEE Trans Robot        ISSN: 1552-3098            Impact factor:   5.567


  13 in total

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Journal:  IEEE Int Conf Robot Autom       Date:  2011-05-09

2.  A Geometrically Exact Model for Externally Loaded Concentric-Tube Continuum Robots.

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Journal:  IEEE Trans Robot       Date:  2010       Impact factor: 5.567

3.  Equilibrium Conformations of Concentric-tube Continuum Robots.

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Journal:  Int J Rob Res       Date:  2010-09-01       Impact factor: 4.703

4.  Design and Control of Concentric-Tube Robots.

Authors:  Pierre E Dupont; Jesse Lock; Brandon Itkowitz; Evan Butler
Journal:  IEEE Trans Robot       Date:  2010-04-01       Impact factor: 5.567

Review 5.  Robotics and imaging in congenital heart surgery.

Authors:  Nikolay V Vasilyev; Pierre E Dupont; Pedro J del Nido
Journal:  Future Cardiol       Date:  2012-03

6.  Friction Modeling in Concentric Tube Robots.

Authors:  Jesse Lock; Pierre E Dupont
Journal:  IEEE Int Conf Robot Autom       Date:  2011

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Authors:  Jessica Burgner; D Caleb Rucker; Hunter B Gilbert; Philip J Swaney; Paul T Russell; Kyle D Weaver; Robert J Webster
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9.  Percutaneous steerable robotic tool delivery platform and metal microelectromechanical systems device for tissue manipulation and approximation: closure of patent foramen ovale in an animal model.

Authors:  Nikolay V Vasilyev; Andrew H Gosline; Evan Butler; Nora Lang; Patrick J Codd; Haruo Yamauchi; Eric N Feins; Chris R Folk; Adam L Cohen; Richard Chen; David Zurakowski; Pedro J del Nido; Pierre E Dupont
Journal:  Circ Cardiovasc Interv       Date:  2013-07-30       Impact factor: 6.546

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Authors:  Andrew H Gosline; Nikolay V Vasilyev; Evan J Butler; Chris Folk; Adam Cohen; Rich Chen; Nora Lang; Pedro J Del Nido; Pierre E Dupont
Journal:  Int J Rob Res       Date:  2012-08-01       Impact factor: 4.703

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  6 in total

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Authors:  John Till; Vincent Aloi; Katherine E Riojas; Patrick L Anderson; Robert J Webster; Caleb Rucker
Journal:  IEEE Trans Robot       Date:  2020-07-27       Impact factor: 5.567

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Journal:  IEEE Trans Robot       Date:  2021-06-15       Impact factor: 6.835

4.  Artificial Intelligence Technologies and Their Application for Reform and Development of Table Tennis Training in Complex Environments.

Authors:  Dong Han; Shengtao Zhang; Huanyu Zhang
Journal:  Comput Intell Neurosci       Date:  2022-06-14

5.  Combining Differential Kinematics and Optical Flow for Automatic Labeling of Continuum Robots in Minimally Invasive Surgery.

Authors:  Benoît Rosa; Valentin Bordoux; Florent Nageotte
Journal:  Front Robot AI       Date:  2019-09-06

6.  Target Tracking Algorithm for Table Tennis Using Machine Vision.

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Journal:  J Healthc Eng       Date:  2021-05-13       Impact factor: 2.682

  6 in total

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