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What’s new: An interesting form of autonomous navigation based on nature.
Why it’s important: Autonomous systems have an important place in an overall PNT architecture. For some applications they are the best/only method. This system uses just 42 kilobytes of memory. It seems like the SWAP-C could eventually be very, very low.
What else to know: It will be a long time, if ever, before autonomous systems like quantum clocks and inertial are able to replace RF-based systems for things like synchronization. Yet methodologies like this could serve larger and larger numbers of users and apps.
Honeybees teach drones how to navigate without GPS
Bee-Nav, a robot navigation system inspired by Mother Nature, takes cues from honeybees to teach drones how to navigate on their own.
Imagine drones buzzing around a greenhouse, inspecting tomatoes or autonomously delivering packages to your door.
While this is already technically possible, drone navigation systems still require significant computing power and memory, making drones heavier than needed, more expensive, and energy-hungry.
