Distance-to-Instability and Distance-to-Singularity Metrics for Continuum Robots

Abstract Existing metrics defined to evaluate the proximity of continuum robots (CRs) to singularities or instability areas are frequently based on matrices involving mixed units, making them sensitive to a change in the unit system. Moreover, their physical meaning is hard to interpret. These metrics are, however, necessary to ensure the best robot performance, as singularities and instability areas may lead to controller instability, or to unstable–stable motions dangerous for the environment. A good metric should be insensitive to the change of units, be bounded, and provide an easily quantifiable information. This is not the case for most metrics used to evaluate the proximity of CRs to singularities or instability areas. Therefore, in this article, we propose new metrics, which can characterize either the distance to instability or to the singularity of any CR. These metrics have a clear physical meaning, have properly defined units (e.g., Newton, meters, radians), and are bounded (they vanish at instability or singularity). They are also generic, i.e., they can be applied to any type of modeling approach (continuous or discrete). Different case studies illustrate our main results.

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Publication Details

Journal
Journal of Mechanisms and Robotics
Published
2026-04-16
DOI
https://doi.org/10.1115/1.4071691
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
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article

Distance-to-Instability and Distance-to-Singularity Metrics for Continuum Robots

Sebastien Briot
Journal of Mechanisms and Robotics
Soft Robotics and Applications
article

Distance-to-Instability and Distance-to-Singularity Metrics for Continuum Robots

Sebastien Briot
article en

Abstract

Abstract Existing metrics defined to evaluate the proximity of continuum robots (CRs) to singularities or instability areas are frequently based on matrices involving mixed units, making them sensitive to a change in the unit system. Moreover, their physical meaning is hard to interpret. These metrics are, however, necessary to ensure the best robot performance, as singularities and instability areas may lead to controller instability, or to unstable–stable motions dangerous for the environment. A good metric should be insensitive to the change of units, be bounded, and provide an easily quantifiable information. This is not the case for most metrics used to evaluate the proximity of CRs to singularities or instability areas. Therefore, in this article, we propose new metrics, which can characterize either the distance to instability or to the singularity of any CR. These metrics have a clear physical meaning, have properly defined units (e.g., Newton, meters, radians), and are bounded (they vanish at instability or singularity). They are also generic, i.e., they can be applied to any type of modeling approach (continuous or discrete). Different case studies illustrate our main results.

Journal of Mechanisms and RoboticsVol. 18(6)
Centre National pour la Recherche Scientifique et Technique (CNRST) (MA), Laboratoire des Sciences du Numérique de Nantes (FR)
Openalex Percentile: Top 28%
Soft Robotics and Applications
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