Simulative analysis of interlocking polygonal concentric tube robots during rotation

Concentric tube robots (CTR) are highly compact actuation mechanisms that are well suited for minimally invasive, robot-assisted surgery. CTR with non-circular, e.g., octagonal, cross-sections can mechanically interlock their relative orientation, thereby preventing unintended rotation if an external applied moment lies below a defined threshold torque. In this study, a finite-element model of a two-tube polyamide CTR with octagonal profiles is used to assess the propagation of discrete 45° rotation steps from base to tip. Geometric (tube length, radial clearance and fillet radius of octagon corners) and material (friction coefficient) parameters are systematically varied. During contact of the tube surfaces, torsional twist causes the tip to lag behind the imposed rotation. Once contact is lost, the stored strain energy is released and the tip snaps rapidly into the next interlocked configuration. The simulations demonstrate that clearance and friction strongly affect the threshold torque and the tip lag, whereas increasing the tube length to 50 mm or beyond prevents complete propagation of the angular step because the twist cannot be fully relaxed within a 45° base rotation. Fillet radius variations produce effects comparable to clearance adjustments. The analysis confirms that short, shape-interlocked CTR, as proposed for use as active cannulas with straight outer tubes and short transmission segments in several studies, can reliably execute stepwise rotations with a defined torque threshold, suppress inadvertent motion, and thereby improve positioning in minimally invasive applications.

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Publication Details

Journal
Infinite Science GmbH
Published
2025-12-02
DOI
https://doi.org/10.18416/automed.2026.2476
Primary Topic
Soft Robotics and Applications
Type
article
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article

Simulative analysis of interlocking polygonal concentric tube robots during rotation

Juliane Mayer, Peter Paul Pott, Jana Rittelmann
Infinite Science GmbH
Soft Robotics and Applications
article

Simulative analysis of interlocking polygonal concentric tube robots during rotation

Juliane Mayer, Peter Paul Pott, Jana Rittelmann
article en

Abstract

Concentric tube robots (CTR) are highly compact actuation mechanisms that are well suited for minimally invasive, robot-assisted surgery. CTR with non-circular, e.g., octagonal, cross-sections can mechanically interlock their relative orientation, thereby preventing unintended rotation if an external applied moment lies below a defined threshold torque. In this study, a finite-element model of a two-tube polyamide CTR with octagonal profiles is used to assess the propagation of discrete 45° rotation steps from base to tip. Geometric (tube length, radial clearance and fillet radius of octagon corners) and material (friction coefficient) parameters are systematically varied. During contact of the tube surfaces, torsional twist causes the tip to lag behind the imposed rotation. Once contact is lost, the stored strain energy is released and the tip snaps rapidly into the next interlocked configuration. The simulations demonstrate that clearance and friction strongly affect the threshold torque and the tip lag, whereas increasing the tube length to 50 mm or beyond prevents complete propagation of the angular step because the twist cannot be fully relaxed within a 45° base rotation. Fillet radius variations produce effects comparable to clearance adjustments. The analysis confirms that short, shape-interlocked CTR, as proposed for use as active cannulas with straight outer tubes and short transmission segments in several studies, can reliably execute stepwise rotations with a defined torque threshold, suppress inadvertent motion, and thereby improve positioning in minimally invasive applications.

Infinite Science GmbH
University of Stuttgart (DE)
Affordable and clean energy
Openalex Percentile: Top 37%
Soft Robotics and Applications
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Simulative analysis of interlocking polygonal concentric tube robots during rotation — Juliane Mayer, Peter Paul Pott, et al. · Infinite Science GmbH (2025) | TGRS Research Map | TGRS