Drones are big news lately and are poised to take over a lot of jobs in the near future. In fact, Amazon and Google are both testing package-delivering drones as we speak.
However, drones do have a weakness, and that's obstacle avoidance. While drones can move fast if a human is controlling them, most drones can only manage 5 to 6 mph while on their own in a crowded area. That's not great for applications that rely on speed near ground level. However, there might be a solution.
A Ph.D. student at MIT named Andrew Barry built his own drone that can detect and avoid obstacles while flying at 30 mph. It does this by using its two obstacle detection cameras to scan exactly 10 meters in front of the drone, and uses two quad-core processors to make calculations faster than other drones typically do.
See the agile $1,700 prototype in action:
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