To expand the capabilities of autonomous unmanned aerial vehicles (UAVs), scientists and engineers
The model is called Agilicious, and the researchersclaim it could make quadcopters more capable of navigating obstacles and tracking trajectories even at high speeds during their travels. Moreover, the model is useful both in real flights and in virtual simulations.
“By open source Agilicious, we provideresearch and industrial community access to a highly flexible, versatile and expandable quadcopter platform,” the researchers said.
Source:
Scientific robotics
In their Agilicious platform they usedadvanced on-board vision sensors, flight monitoring systems and other components. They ultimately improved drone real-time perception, trajectory tracking, and flight planning skills.
In addition, the platform is also equipped with NVIDIAJetson TX2, a powerful and energy-saving artificial intelligence module that performs complex computational tasks to support its hardware functions.
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