Drones Get Surprise Aerial Upgrade

MIT is at it again. A stereo-vision algorithm that designs an accurate map in real-time and detects obstacles was created by MIT student Andrew Barry. This allows drones to fly faster and navigate through their surrounding environment better and without a human operator. In other words, fully autonomous, speedy and agile. What could go wrong?

The software is open source and available for download at Github.

This is a pretty cool sounding algorithm. It reminds me of some Blizzard games like StarCraft or WoW, where your navigational map lights up based on your movement. Read more details - here -.

Even though the team here at Futureslaver HQ is excited for MIT and this recent development, we couldn't help but share our concerns behind closed doors regarding the possible unintended consequences of drones capable of such aerodynamic feats in the hands of so many consumers. Then we realized the ultimate agenda (just like with self-driving cars) is to get these flying robots into as many households as possible. No one worries about autonomous vacuum cleaners either, but how long until your Roomba starts laying down hidden landmines in your carpet?

Update: After viewing the video, we couldn't help but notice how similar this new drone technology is to the speeder bikes of Endor. It's always been a bit of a mystery how those speeders navigated the Endorian forest. Take a look for yourself. Perhaps George Lucas is a drone enthusiast and adviser behind the scenes at MIT?