AI algorithms then analyze these patterns to assess potential damage, alerting crews when issues arise.
Initial test flights integrating the nervous system on an undergraduate drone project were promising.
What really excited us was seeing the live data from the fiber system.
The researchers believe their self-monitoring system holds immense potential across industries.
They aim to commercialize the technology as early as 2025.
The technology would likely be most beneficial for larger cargo drones that endure greater operational stress.
Given this growth, it’s no surprise that research and development for these vehicles is currently intense.
