In the near future, autonomous drones may play a crucial role in traffic management, emergency response, border surveillance, and delivery services. Recently, a team of researchers has developed an open-source hardware and software model that promises to improve the agility of quadrotors (drones that run on a four-rotor system).
Agilicious is a technique that allows individuals to avoid obstacles and track trajectories during their journeys, according to the researchers. This method is proven to be effective in both actual flights and virtual simulations. Agilicious is also useful in the research and industrial industry, claiming that it can be used in both actual flights and virtual simulations. By open-sourcing Agilicious, we provide the research and industrial community with access to a highly agile, versatile, and extendable quadrotor platform.
What do they do to improve the flight capabilities of a quadcopter from Agilicious?
While quadrotors are highly agile UAVs, their agility must be enhanced further to assist in time-sensitive operations, such as rescue missions, delivery operations, and shipment inspection. These drones often struggle when it comes to adaptive control and tracking trajectories. The researchers from the University of Zurich decided to develop a platform that combines multiple software and hardware capabilities to improve a quadrotor''s agility.
They employed advanced onboard vision sensors, flight monitoring systems, and other components to improve the drones'' real-time perception, trajectory tracking, and flight planning skills. Moreover, the platform also features NVIDIA Jetson TX2, a powerful and energy-saving AI module that automates complex computational tasks to support its hardware functions.
In particular, researchers conducted various experiments to evaluate the impact of the UAVs on platform performance. Even at high speeds of up to 43 mph (50 to 70 kph), autonomous drones with Agilicious were able to perform motion-capture trajectory tracking. Later, the platform was also tested for virtual reality simulations.
Researchers compared the quadrotors'' real-time response and obstacle-avoiding abilities durant both types of tests.
What does it mean for the future of drones?
Agilicious, which was thoroughly tested in the review, was able to undertake various missions, from exploration or rescue missions to an acrobatic flight.
The researchers believe that this open-source approach will lead to better use of drones for real-world applications. It also opens the way for research on other types of autonomous robot technology. Agilicious is a unique platform for current and future generations of autonomous vehicles.
A researcher has conducted a research on Agilicious, which has been published in the journal Science Robotics.