Kinetostatic Modeling of Retractable and Prismatic Spring Body for Continuum Climbing Robots in Discontinuous Terrains

There are few studies on the mechanics of the retractable backbone for continuum climbing robots, especially the non-circular cross-section. The retractable non-circular structure endows the robot with more compact structure, adjustability in initial stiffness, and dexterous mobility in narrow space. Consequently, a retractable prismatic spring backbone is proposed. Aiming at rectangular helical characteristic and coupling deformation, the backbone is equivalent to an elastic beam, whose equivalent stiffness is solved by the projection principle of the micro-segment deformation. Then the finite piecewise method and continuous differential method are used to establish its mechanical model. The piecewise method uses linear superposition principle to decouple the compression and bending deformation, and the rotation angle is solved by using the projection principle of the bending deformation. The continuous method uses the Cosserat-rod theory to establish the variable-curvature mechanics based on the equivalent beam, whose boundary-value problem is solved by gradually extending the integral region. Finally, two theory methods are in good agreement with FEA and experiment results; the continuous method has higher accuracy and piecewise method has lower computation cost; a multipurpose continuum climbing robot composed of the spring backbone, rotatable joint and flexible claw is applied to inspection in enclosed equipment.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-10-14
DOI
https://doi.org/10.1109/lra.2024.3479697
Citations
2
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
0.37
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article

Kinetostatic Modeling of Retractable and Prismatic Spring Body for Continuum Climbing Robots in Discontinuous Terrains

Pengpeng Yang, Jin Ge, Jianwen Zhao, Bo Huang et al.
2 citations
IEEE Robotics and Automation Letters
Robotic Locomotion and Control
0.37
article

Kinetostatic Modeling of Retractable and Prismatic Spring Body for Continuum Climbing Robots in Discontinuous Terrains

Pengpeng Yang, Jin Ge, Jianwen Zhao, Bo Huang, J. D. Long, Jialin Zang
article en
2 citations

Abstract

There are few studies on the mechanics of the retractable backbone for continuum climbing robots, especially the non-circular cross-section. The retractable non-circular structure endows the robot with more compact structure, adjustability in initial stiffness, and dexterous mobility in narrow space. Consequently, a retractable prismatic spring backbone is proposed. Aiming at rectangular helical characteristic and coupling deformation, the backbone is equivalent to an elastic beam, whose equivalent stiffness is solved by the projection principle of the micro-segment deformation. Then the finite piecewise method and continuous differential method are used to establish its mechanical model. The piecewise method uses linear superposition principle to decouple the compression and bending deformation, and the rotation angle is solved by using the projection principle of the bending deformation. The continuous method uses the Cosserat-rod theory to establish the variable-curvature mechanics based on the equivalent beam, whose boundary-value problem is solved by gradually extending the integral region. Finally, two theory methods are in good agreement with FEA and experiment results; the continuous method has higher accuracy and piecewise method has lower computation cost; a multipurpose continuum climbing robot composed of the spring backbone, rotatable joint and flexible claw is applied to inspection in enclosed equipment.

IEEE Robotics and Automation LettersVol. 9(12)
China National Nuclear Corporation (CN), Harbin Institute of Technology (CN)
Openalex Percentile: Top 43%
Robotic Locomotion and Control
0.37
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Kinetostatic Modeling of Retractable and Prismatic Spring Body for Continuum Climbing Robots in Discontinuous Terrains — Pengpeng Yang, Jin Ge, et al. · IEEE Robotics and Automation Letters (2024) | TGRS Research Map | TGRS