Mimicking Nature: The Flying Squirrel Drone

researchers have drawn inspiration from the natural world to create a novel drone design. A team led by Professor Han Soo-hee at POSTECH has developed a drone capable of rapidly decelerating mid-flight, mirroring the gliding capabilities of a flying squirrel. This innovative design was recently unveiled in the IEEE Robotics and Automation letters.

Design and Functionality: How it effectively works

The core concept revolves around replicating the flying squirrel’s ability to extend a membrane between its limbs to increase surface area and generate drag. The newly developed drone incorporates a foldable silicone membrane positioned between its four rotors. This membrane can be deployed to mimic the gliding action of its animal counterpart, enabling rapid deceleration and enhanced control during landing or maneuvering.

AI-Powered control: Thrust-Weight Compensation Control (TWCC)

A key element of this drone’s functionality is its advanced control system. The research team implemented a Thrust-Weight Compensation Control (TWCC) strategy, utilizing an artificial neural network. This AI is trained to predict the aerodynamic resistance generated when the drone deploys its “wings.”

This trained AI decides when to open the wings and what thrust the rotor will make.

This predictive capability allows the drone to dynamically adjust its rotor thrust and wing deployment, optimizing its maneuverability in real-time. The AI’s ability to manage these complex interactions is crucial for achieving stable and controlled flight, especially during sudden stops or rapid changes in direction.

Performance and Implications: Enhanced Efficiency

the implementation of the TWCC strategy has yielded meaningful improvements in control efficiency. Testing has demonstrated a 13.1% increase in control effectiveness compared to conventional blade control systems, notably in demanding maneuvers like abrupt stops. This enhanced control translates to improved stability, responsiveness, and overall flight performance.

Moreover, the drone’s design allows it to be operated using low-performance microcontrollers. This means that the drone can function autonomously, relying solely on its onboard processing capabilities without the need for external computers or dialogue links.This feature is particularly valuable in situations where remote control is unreliable or unavailable, such as search and rescue operations in remote areas.

Future Applications: Beyond the Lab

The development of this flying squirrel-inspired drone represents a significant step forward in drone technology. Its unique design and AI-powered control system offer a compelling combination of maneuverability, stability, and autonomy. As drone technology continues to evolve, innovations like this are paving the way for new applications in various fields, including:

• Search and Rescue: Rapid deceleration and precise maneuvering in complex environments.
• Inspection and Maintenance: Navigating tight spaces and performing detailed inspections of infrastructure.
• Delivery Services: Safe and efficient package delivery in urban areas.

Professor Han emphasizes that this research builds upon previous conceptual work, adding a crucial layer of technology that significantly enhances the drone’s maneuverability. This continuous advancement and refinement are essential for realizing the full potential of bio-inspired drone designs.