Skip to main content
  1. Home
  2. Emerging Tech
  3. News

NASA successfully tests a drone traffic control system

Add as a preferred source on Google

NASA has been working on a UAS traffic management (UTM) system to handle the growing number of unmanned aerial vehicles taking to the skies. On Tuesday the system successfully underwent its largest test to date, a NASA spokesman told Digital Trends, with remote flights at all six FAA test sites this week.

As part of the testing, drone operators at each site simultaneously flew a variety of remote-controlled unmanned aircraft systems. The test sites are dispersed across the country and included locations in Alaska, North Dakota, Nevada, New York, Virginia, and Maryland. At one point, a whopping 24 drones took to the air at the same time during this early stage of testing.

Recommended Videos

Success! 24 #drones in the air for a great test of the UTM research platform! https://t.co/bpxHbOuKmi #nasaaero pic.twitter.com/RjrALUpY3U

— NASA Ames (@NASAAmes) April 19, 2016

To hit that number, each test site flew up to four drones at a time while interacting with the UTM system during all stages of the flight. Before flying, each drone operator entered a flight plan into the UTM system, which checked the proposed path for potential conflicts and either approved or rejected the flight. Operators were notified of their approval status before their scheduled flight time. Once in the air, the drone’s flight pattern was tracked by the UTM both on a local and a national level — leading to the amazing image atop this article. Not only were the flights tracked at each FAA test site,  each drone also was monitored remotely by engineers working at NASA’s Ames Research Center in Moffett Field, California.

These tests were a milestone for the system — it’s the first time the UTM research platform was tested at all six FAA sites at the same time. It was the largest live test with 24 simultaneous live flights and the first time both live and simulated flights have been processed by the platform. It was also the first time controllers at each location tested the NASA-developed UTM displays and apps on a live flight. NASA hopes to use information gathered from these tests to refine the system so it can track different types of unmanned aircraft and a greater number of them flying in geographically diverse locations.

Updated on 04-21-2016 by Jeremy Kaplan: Corrected the headline to show that the FAA is not involved in testing, but has agreed to allow NASA to use its test sites, and to reflect successful completion of the test.

Kelly Hodgkins
Kelly's been writing online for ten years, working at Gizmodo, TUAW, and BGR among others. Living near the White Mountains of…
AI can’t tell if you’re gay or straight, but it thinks it knows what both look like
AI knows it shouldn't judge a face, but apparently, drawing one is a different story.
Emilia Clarke AI generated stock image. Gemini / Nano Banana is on the left

We've all been told not to judge a book by its cover, and you'd think AI would follow that rule, too. Ask an AI chatbot to guess someone's sexual orientation just by looking at their face, and it'll likely tell you that there's no reliable way to know. But what happens when you ask that same model to change someone's appearance to match a particular sexual orientation? Well, that's where things get uncomfortable.

A new study, accepted for presentation at the 2026 Conference on Empirical Methods in Natural Language Processing, found that AI models from OpenAI and Google can be inconsistent when handling sensitive personal characteristics. They might refuse to make assumptions about someone based on their appearance, but when asked to generate those same assumptions visually, the results tell a very different story.

Read more
A clinical study with Google’s special chatbot shows a strong future for AI in healthcare
Google’s medical AI could give doctors a useful second set of eyes
Google Articulate Medical Intelligence Explorer chatbot

AI is a useful tool for handling many tasks in private as well as professional settings, but medical advice, especially diagnosis, is one area where I generally draw the line. General-purpose chatbots tend to sound confident and convincing while giving medical advice, even when they are wrong, as studies have previously found.

That being said, Google's new research points to a much more convincing use for AI in healthcare. Its Articulate Medical Intelligence Explorer chatbot, or AMIE for short, could help prepare both sides before the appointment even begins.

Read more
Relaxation music had one job in this pain study, and favorite songs did it better
Patients who chose their music reported less pain after an IV insertion
Book, Publication, Indoors

Patients’ favorite songs helped ease pain after an IV insertion in a new study, while music specifically chosen for relaxation didn’t show a significant benefit. The soothing soundtrack could apparently use a second opinion.

Researchers at University Hospital Zürich studied 204 patients receiving an IV cannula before an MRI scan. Those listening to their chosen music reported less pain 30 seconds and two minutes after insertion. Across the full sample, the clearest relief came after the needle went in.

Read more