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Related Concept Videos

Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

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Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
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Related Experiment Video

Updated: Jan 18, 2026

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
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Model-based Parameter Selection for a Steerable Continuum Robot - Applications to Bronchoalveolar Lavage (BAL).

Amber K Rothe1, Timothy A Brumfiel1, Revanth Konda1

  • 1Medical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA.

IEEE Robotics and Automation Letters
|September 8, 2025
PubMed
Summary

Continuum robots can improve bronchoalveolar lavage (BAL) navigation in tortuous lungs. This study models robot curvature for precise navigation, achieving accurate shape prediction and enabling effective pulmonary phantom traversal.

Keywords:
Surgical robotics: steerable catheters/needlesmedical robots and systemstendon/wire mechanism

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Area of Science:

  • Medical robotics
  • Biomedical engineering
  • Medical device design

Background:

  • Bronchoalveolar lavage (BAL) is crucial for diagnosing lung conditions but faces navigation challenges in complex lung anatomy.
  • Continuum robots offer potential for enhanced navigation in minimally invasive procedures like BAL.

Purpose of the Study:

  • To develop a predictive model for the curvature of tendon-driven notched continuum robots.
  • To create an algorithm for designing robots with desired nonuniform curvature for lung navigation.
  • To incorporate friction and pre-curvature into shape prediction models for enhanced accuracy.

Main Methods:

  • Modeling robot curvature based on arbitrary notch shapes and tendon tension.
  • Developing an algorithm to optimize notch patterns for specific curvatures.
  • Validating models by predicting robot deflection and shape with experimental data and a pulmonary phantom.

Main Results:

  • The model accurately predicted the deflection of various notch shapes (2.32%-6.32% error).
  • A simulated robot designed with the algorithm achieved target curvature with 1.52° RMSE.
  • A refined model incorporating friction and pre-curvature predicted robot shape with 5.20° average RMSE.

Conclusions:

  • The developed models and algorithms enable precise control over continuum robot shape for complex anatomical navigation.
  • This technology has the potential to improve the efficacy and safety of procedures like bronchoalveolar lavage.
  • Demonstrated navigation through a pulmonary phantom validates the practical applicability of the robotic system.