Evidence map›Paper›PMID 26413381›Full record

ArticleIEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation2015

A Motion Planning Approach to Automatic Obstacle Avoidance during Concentric Tube Robot Teleoperation.

Luis G Torres, Alan Kuntz, Hunter B Gilbert, Philip J Swaney, Richard J Hendrick, Robert J Webster, Ron Alterovitz

Abstract read
In one paragraph

Article in IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Sensing of Continuum Robots: A Review.Sensors (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Continuum Robots for Medical Interventions.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
    Article
  5. Learning the Complete Shape of Concentric Tube Robots.IEEE transactions on medical robotics and bionics · 2020
    Article
  6. Planning High-Quality Motions for Concentric Tube Robots in Point Clouds via Parallel Sampling and Optimization.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2019
    Article
  7. Article
  8. Adaptive Nonparametric Kinematic Modeling of Concentric Tube Robots.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2016
    Article
  9. Elastic Stability of Concentric Tube Robots: A Stability Measure and Design Test.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2016
    Article
  10. Motion Planning for a Three-Stage Multilumen Transoral Lung Access System.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Luis G TorresDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Alan KuntzDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Hunter B GilbertDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
Philip J SwaneyDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
Richard J HendrickDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
Robert J WebsterDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
Ron AlterovitzDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Funding

Robotic Natural Orifice Skull Base SurgeryR01EB017467 · NIBIB · VANDERBILT UNIVERSITY · PI WEBSTER, ROBERT JAMES · 2013 to 2016
$1.7M
Multi-lumen steerable needles for transoral access to lung nodulesR21EB017952 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALTEROVITZ, RON · 2013 to 2014
$409k
NIBIB NIH HHS R01 EB017467NIBIB NIH HHS R21 EB017952
6 · The paper itself

Abstract

Concentric tube robots are thin, tentacle-like devices that can move along curved paths and can potentially enable new, less invasive surgical procedures. Safe and effective operation of this type of robot requires that the robot's shaft avoid sensitive anatomical structures (e.g., critical vessels and organs) while the surgeon teleoperates the robot's tip. However, the robot's unintuitive kinematics makes it difficult for a human user to manually ensure obstacle avoidance along the entire tentacle-like shape of the robot's shaft. We present a motion planning approach for concentric tube robot teleoperation that enables the robot to interactively maneuver its tip to points selected by a user while automatically avoiding obstacles along its shaft. We achieve automatic collision avoidance by precomputing a roadmap of collision-free robot configurations based on a description of the anatomical obstacles, which are attainable via volumetric medical imaging. We also mitigate the effects of kinematic modeling error in reaching the goal positions by adjusting motions based on robot tip position sensing. We evaluate our motion planner on a teleoperated concentric tube robot and demonstrate its obstacle avoidance and accuracy in environments with tubular obstacles.

Identifiers

PMID26413381
PMCPMC4578310

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.