A team of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has introduced a method for drones to master vision-based fly-to-target tasks in intricate and unfamiliar environments. The team used liquid neural networks that continuously adapt to new data inputs.
The post MIT uses liquid neural networks to teach drones navigation skills appeared first on The Robot Report.
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