Articlenpj Robotics2024
Adaptive morphing of wing and tail for stable, resilient, and energy-efficient flight of avian-inspired drones.
Article in npj Robotics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A System-Level Review of Bio-Inspired Technologies for Next-Generation UAVs: From Aerodynamics to Energy Systems.Biomimetics (Basel, Switzerland) · 2026Review
- Decoupling pitch and angle of attack with a variable-incidence wing extends quadrotor flight endurance.Scientific reports · 2026Article
- Effects of Wing-Tail Coupling on Aerodynamic Performance of Flapping-Wing Aircraft.Biomimetics (Basel, Switzerland) · 2026Article
- Bioinspired Morphing in Aerodynamics and Hydrodynamics: Engineering Innovations for Aerospace and Renewable Energy.Biomimetics (Basel, Switzerland) · 2025Review
- Characterization of Wing Kinematics by Decoupling Joint Movement in the Pigeon.Biomimetics (Basel, Switzerland) · 2024Article
- CGull: A Non-Flapping Bioinspired Composite Morphing Drone.Biomimetics (Basel, Switzerland) · 2024Article
- Adaptive morphing of wing and tail for stable, resilient, and energy-efficient flight of avian-inspired drones.npj Robotics · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Avian-inspired drones feature morphing wing and tail surfaces, enhancing agility and adaptability in flight. Despite their large potential, realising their full capabilities remains challenging due to the lack of generalized control strategies accommodating their large degrees of freedom and cross-coupling effects between their control surfaces. Here we propose a new body-rate controller for avian-inspired drones that uses all available actuators to control the motion of the drone. The method exhibits robustness against physical perturbations, turbulent airflow, and even loss of certain actuators mid-flight. Furthermore, wing and tail morphing is leveraged to enhance energy efficiency at 8 m/s, 10 m/s, and 12 m/s using in-flight Bayesian optimization. The resulting morphing configurations yield significant gains across all three speeds of up to 11.5% compared to non-morphing configurations and display a strong resemblance to avian flight at different speeds. This research lays the groundwork for the development of autonomous avian-inspired drones that operate under diverse wind conditions, emphasizing the role of morphing in improving energy efficiency.
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Registered trials
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