High-performance coupled kinematics of aerial continuum manipulation systems for control applications

Article Overview

This work introduces a generalized discrete coupled kinematic model for a tendon-driven aerial continuum manipulation system (TD-ACMS), grounded in the strain-based formulation of Cosserat rod theory. Unlike traditional models limited to planar bending, this approach accounts for all six deformation modes of the continuum segments, enabling full-body coordination with the aerial platform.

A key contribution is the derivation of a conventional-format coupled Jacobian, which simplifies the development of kinematics-based controllers without requiring the solution of complex differential–algebraic equations. The model’s effectiveness is demonstrated through an image-based visual servoing (IBVS) task featuring a customized tendon routing strategy.

Comparative results show significant improvements in trajectory tracking performance, especially for complex and time-sensitive maneuvers. Real-world experiments on a physical aerial continuum manipulator validate the proposed model and control strategy.

Key Features

  • Full-Body Deformation Modeling: Captures all six deformation modes of the continuum robot segments using strain-based Cosserat rod theory, surpassing models that only consider planar bending.

  • Simplified Control via Coupled Jacobian: Introduces a conventional-form Jacobian that facilitates kinematics-based control design without solving stiff differential–algebraic equations.

  • Validated High-Performance IBVS: Demonstrates superior trajectory tracking in image-based visual servoing (IBVS) tasks, confirmed through both simulations and real-world experiments with a physical prototype.

Figures

Components of the tendon-driven aerial continuum manipulation system.

Components of the tendon-driven aerial continuum manipulation system.

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Citation

@article{amiri2025high,
  title={High-performance coupled kinematics of aerial continuum manipulation systems for control applications},
  author={Amiri, Niloufar and Janabi-Sharifi, Farrokh},
  journal={Robotics and Autonomous Systems},
  pages={105021},
  year={2025},
  publisher={Elsevier}
}