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A squirrel-inspired drone with enhanced stability, agility and maneuverability via whole-body morphing
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  • Published: 13 May 2026

A squirrel-inspired drone with enhanced stability, agility and maneuverability via whole-body morphing

  • Liming Zheng  (郑黎明)  ORCID: orcid.org/0000-0002-7544-30201,
  • Alexander van Zuijlen  ORCID: orcid.org/0000-0003-2759-40082 &
  • Salua Hamaza  ORCID: orcid.org/0000-0001-5261-26801 

Nature Communications (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Aerospace engineering
  • Mechanical engineering

Abstract

Gliding mammals, such as flying squirrels, exhibit remarkable flight abilities by dynamically controlling their wing membranes (patagia), using their limbs and tail to manoeuvre between trees. They achieve agile and manoeuvrable gliding by adjusting their body and wing shape to control trajectory and stability. While research on bio-inspired drones primarily focuses on avian flight, the aerodynamic implications of whole-body morphing paired with soft membrane deformations in mammalian gliders remain unexplored. To address this, we developed the SquirrelDrone, a bioinspired drone capable of continuously modulating its shape via limb and tail actuation, coupled with passive deformations of its skin-like membrane. This design enables the investigation of how coordinated limb motion and membrane morphing affect aerodynamic forces during flying. Wind-tunnel and flight experiments show that gliding-mammal-inspired morphing significantly improves drone stability, agility, and manoeuvrability, providing a bioinspired framework for understanding how whole-body morphing contributes to flight control in future morphing aircraft.

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Acknowledgements

The authors thank Erik van der Horst for piloting the drone during outdoor flight tests; Anton Lang for assistance with the autopilot development and wind tunnel testing; Baihui Chen, Ziqing Ma, Yiyuan Zou, Hang Yu, Yilun Wu, Yujie Wang, Chaoxiang Ye, Dequan Ou, Xiaoyan Bai, and Shenqi Wang for their assistance with the wind tunnel experiments; and Peter Duyndam, Dennis Bruikman, and Ferdinand Schrijer from the Delft University of Technology Open Jet wind tunnel facility for technical support. This research received no specific funding.

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Authors and Affiliations

  1. BioMorphic Intelligence Lab, Department of Control & Operations, Faculty of Aerospace Engineering, TU Delft, Delft, The Netherlands

    Liming Zheng  (郑黎明) & Salua Hamaza

  2. Aerodynamics, Department of Flow Physics and Technology, Faculty of Aerospace Engineering, TU Delft, Delft, The Netherlands

    Alexander van Zuijlen

Authors
  1. Liming Zheng  (郑黎明)
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  2. Alexander van Zuijlen
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  3. Salua Hamaza
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Corresponding authors

Correspondence to Liming Zheng  (郑黎明) or Salua Hamaza.

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The authors declare no competing interests.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Zheng, L., van Zuijlen, A. & Hamaza, S. A squirrel-inspired drone with enhanced stability, agility and maneuverability via whole-body morphing. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72822-w

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  • Received: 16 April 2025

  • Accepted: 20 April 2026

  • Published: 13 May 2026

  • DOI: https://doi.org/10.1038/s41467-026-72822-w

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