Robotic valve turning: axial misalignment estimation from reaction torques

In this work, we present a simplified quasi-static model of a two-point contact gripper turning a circular valve to predict the reaction torques produced at the base of the valve as a function of the axis misalignment. Specifically, we learned that geometric features such as (i) the misalignment vector being tangent to the reaction torques, (ii) length of the misalignment vector being directly proportional to the magnitude of the reaction torques and (iii) small axial misalignments resulting in well defined ‘double-loops’ in the 2D reaction torques space are indicative of axis misalignment.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801385
Citations
2
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.37
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article

Robotic valve turning: axial misalignment estimation from reaction torques

Lin Forrest Yang, Mohammad Zaidi Ariffin, Domenico Campolo, Sri Harsha Turlapati et al.
2 citations
Soft Robotics and Applications
0.37
article

Robotic valve turning: axial misalignment estimation from reaction torques

Lin Forrest Yang, Mohammad Zaidi Ariffin, Domenico Campolo, Sri Harsha Turlapati, Gautami Golani
article en
2 citations

Abstract

In this work, we present a simplified quasi-static model of a two-point contact gripper turning a circular valve to predict the reaction torques produced at the base of the valve as a function of the axis misalignment. Specifically, we learned that geometric features such as (i) the misalignment vector being tangent to the reaction torques, (ii) length of the misalignment vector being directly proportional to the magnitude of the reaction torques and (iii) small axial misalignments resulting in well defined ‘double-loops’ in the 2D reaction torques space are indicative of axis misalignment.

Nanyang Technological University (SG)
Affordable and clean energy
Openalex Percentile: Top 41%
Soft Robotics and Applications
0.37
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