{"id":342761,"date":"2017-06-05T21:51:11","date_gmt":"2017-06-05T13:51:11","guid":{"rendered":"http:\/\/techcrunch.com\/?p=1499399"},"modified":"2017-06-05T21:51:11","modified_gmt":"2017-06-05T13:51:11","slug":"nasa-picks-3-research-teams-to-lay-the-groundwork-for-an-autonomous-future","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/nasa-picks-3-research-teams-to-lay-the-groundwork-for-an-autonomous-future\/","title":{"rendered":"NASA picks 3 research teams to lay the groundwork for an autonomous future"},"content":{"rendered":"

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NASA has greenlighted three of its teams of researchers to perform feasibility studies<\/a> on projects that could pave the way for autonomous drones and self-driving cars to operate safely and effectively at scale. Many companies are investing both in self-flying drones and in driverless cars as future transportation technologies, but in order for these to become everyday options, there are a few things that need to be in place, and this research is aimed at making that possible.<\/p>\n

The studies will focus on three areas, including certification of self-driving cars and Unmanned Aircraft Systems (UAS); the development of new verification tech to automatically ensure remotely piloted aircraft are fit to fly before every single trip; and using quantum computing combined with communication tech to make sure a \u201csecure and jam-free network\u201d exists for helping networks of hundreds of thousands of drones and vehicles communicate with each other safely and reliably each day.<\/p>\n

These three studies were selected by a NASA team of aeronautics managers, after hearing a wide range of proposals. Each should take between 24 and 30 months to complete, respectively, and the purpose of the project is to find out whether these areas merit significant spend, and whether they\u2019ll even be possible to address, regardless of investment and scale.<\/p>\n

You can see why these projects were chosen \u2013 in the first case, the idea that most of these systems relied on closed learning algorithms that don\u2019t necessarily offer a lot of transparency into how they achieve their decisions led NASA to want to explore whether \u201cestablish justifiable confidence in machine decisions,\u201d with an eye towards creating an industry-wide certification system, might be possible. Pre-flight checks is another pretty obvious good for the field, as is a network that can\u2019t be interrupted or shut down for communications between drones.<\/p>\n

A future where the skies are filled with autonomous delivery drones and the roads are lined with self-driving cars is still a long way out, but this work by NASA could help it arrive sooner than expected.<\/p>\n","protected":false},"excerpt":{"rendered":"

\"\" NASA has greenlighted three of its teams of researchers to perform feasibility studies on projects that could pave the way for autonomous drones and self-driving cars to operate safely and effectively at scale. Many companies are investing both in self-flying drones and in driverless cars as future transportation technologies, but in order for these to become everyday options, there are a… Read More<\/a><\/p>\n

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