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Flying Vines: Design, Modeling, and Control of a Soft Aerial Robotic Arm

26 March 2025
Rianna M. Jitosho
Crystal E. Winston
Shengan Yang
Jinxin Li
Maxwell Ahlquist
Nicholas John Woehrle
Chenxi Liu
Allison M. Okamura
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Abstract

Aerial robotic arms aim to enable inspection and environment interaction in otherwise hard-to-reach areas from the air. However, many aerial manipulators feature bulky or heavy robot manipulators mounted to large, high-payload aerial vehicles. Instead, we propose an aerial robotic arm with low mass and a small stowed configuration called a "flying vine". The flying vine consists of a small, maneuverable quadrotor equipped with a soft, growing, inflated beam as the arm. This soft robot arm is underactuated, and positioning of the end effector is achieved by controlling the coupled quadrotor-vine dynamics. In this work, we present the flying vine design and a modeling and control framework for tracking desired end effector trajectories. The dynamic model leverages data-driven modeling methods and introduces bilinear interpolation to account for time-varying dynamic parameters. We use trajectory optimization to plan quadrotor controls that produce desired end effector motions. Experimental results on a physical prototype demonstrate that our framework enables the flying vine to perform high-speed end effector tracking, laying a foundation for performing dynamic maneuvers with soft aerial manipulators.

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@article{jitosho2025_2503.20754,
  title={ Flying Vines: Design, Modeling, and Control of a Soft Aerial Robotic Arm },
  author={ Rianna Jitosho and Crystal E. Winston and Shengan Yang and Jinxin Li and Maxwell Ahlquist and Nicholas John Woehrle and C. Karen Liu and Allison M. Okamura },
  journal={arXiv preprint arXiv:2503.20754},
  year={ 2025 }
}
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