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    Area of Science:

    • Robotics
    • Bio-inspired Engineering
    • Control Systems

    Background:

    • Ornithopter robots require advanced control for stable perching.
    • Avian flight dynamics offer insights into efficient perching strategies.
    • Current robotic systems lack sophisticated perching capabilities.

    Purpose of the Study:

    • To design an optimal perching maneuver for ornithopter robots.
    • To develop a nonlinear adaptive controller for stable perching.
    • To validate the maneuver and controller against biological systems.

    Main Methods:

    • Analytical optimization of perching maneuver for minimal perch velocity.
    • Development of a nonlinear adaptive controller for flapping frequency and tail deflection.
    • Simulation and validation of autonomous perching trajectories.

    Main Results:

    • An optimal perching maneuver involving deceleration and pitch-up was derived.
    • A robust adaptive controller ensured stable perching under dynamic constraints.
    • Simulated perching trajectories closely matched real bird perching data.

    Conclusions:

    • The study provides a theoretical framework for bio-inspired ornithopter perching.
    • The designed maneuver and controller enable stable, autonomous landings.
    • Findings pave the way for advanced ornithopter prototypes mimicking bird agility.