NEWS: F-35 will Include Artificial Intelligence to Control Drones

F 35

F-35s, F-22s and other fighter jets will soon use improved artificial intelligence to control nearby drone wingmen that will be able to carry weapons, test enemy air defenses or perform intelligence, surveillance and reconnaissance missions in high risk areas, senior Air Force officials said.

Citing ongoing progress with artificial intelligence already engineered into the F-35, Air Force Chief Scientist Gregory Zacharias said that much higher degrees of autonomy and manned-unmanned teaming are expected to emerge in the near future from work at the Air Force Research Lab

“This involves an attempt to have another platform fly alongside a human, perhaps serving as a weapons truck carrying a bunch of missiles,” Zacharias said in an interview with Defense Systems.

An F-35 computer system, Autonomic Logistics Information System, uses early applications of artificial intelligence that help computers make assessments, go through checklists, organize information and make some decisions by themselves – without needing human intervention.

“We are working on making platforms more autonomous with multi-infusion systems and data from across different intel streams,” Zacharias explained.

ALIS serves as the information infrastructure for the F-35, transmitting aircraft health and maintenance action information to the appropriate users on a globally-distributed network to technicians worldwide, said Lockheed Martin, the contractor that built the system.

However, despite the promise of advancing computer technology and increasingly levels of autonomy, Zacharias emphasized that dynamic human cognition is, in many respects, far more capable than computers.

Computers can more quickly complete checklists and various procedures, but human perception abilities can more quickly process changing information in many respects.

“A computer might have to go through a big long checklist, whereas a pilot might immediately know that the engines are out without going through a checklist. He is able to make a quicker decision about where to land,” Zacharias said.

The F-35s so-called “sensor fusion” uses computer algorithms to acquire, distill, organize and present otherwise disparate pieces of intelligence into a single picture for the pilot. The technology, Zacharias said, also exhibits some early implementations of artificial intelligence.

Systems such as a 360-degree sensor suite, called the Distributed Aperture System, is linked with targeting technologies, such as the aircraft’s Electro-Optical Targeting System.

At the moment, the flight path, sensor payload and weapons disposal of airborne drones such as Air Force Predators and Reapers are coordinated from ground control stations.

In the future, drones will likely be operated from the cockpit of advanced fighter jets such as the Joint Strike Fighter or F-22, Zacharias predicted.

Zacharias said F-35 pilots will be able to control a small group of drones flying nearby from the aircraft cockpit in the air, performing sensing, reconnaissance and targeting functions.

“The more autonomy and intelligence you can put on these vehicles, the more useful they will become,” he said.

Wargames, exercises and simulations are ways the Air Force is working to advance autonomous technologies.

“Right now we are using lots of bandwidth to send our real-time video. One of the things that we have is a smarter on-board processor. These systems can learn over time and be a force multiplier. There’s plenty of opportunity to go beyond the code base of an original designer and work on a greater ability to sense your environment or sense what your teammate might be telling you as a human,” he said.

For example, with advances in computer technology, autonomy and artificial intelligence, drones will be able to stay above a certain area and identify particular identified relevant objects or targets at certain times, without needing a human operator, Zacharias added.

This is particularly relevant because the large amount of ISR video demands organizing algorithms and technology to help process and sift through the vast volumes of gathered footage – in order to pinpoint and communicate what is tactically relevant.

“With image processing and pattern recognition, you could just send a signal instead of using up all this bandwidth saying, “Hey, I just saw something 30-seconds ago you might want to look at the video feed I am sending right now,’” he explained.This development could greatly enhance mission scope, flexibility and effectiveness by enabling a fighter jet to conduct a mission with more weapons, sensors, targeting technology and cargo, Zacharias explained.

For instance, real-time video feeds from the electro-optical/infrared sensors on board an Air Force Predator, Reaper or Global Hawk drone could go directly into an F-35 cockpit, without needing to go to a ground control station. This could speed up targeting and tactical input from drones on reconnaissance missions in the vicinity of where a fighter pilot might want to attack.

In fast-moving combat circumstances involving both air-to-air and air-to-ground threats, increased speed could make a large difference.

In addition, drones could be programmed to fly into heavily defended or high-risk areas ahead of manned-fighter jets in order to assess enemy air defenses and reduce risk to pilots.

“Decision aides will be in cockpit or on the ground and more platform oriented autonomous systems. A wing-man, for instance, might be carrying extra weapons, conduct ISR tasks or help to defend an area,” he said.

Algorithms could progress to the point where a drone, such as a Predator or a Reaper, might be able to follow a fighter aircraft by itself – without needing its flight path navigated from human direction from the ground.

Unlike ground robotics wherein autonomy algorithms have to contend with an ability to move quickly in relation to unanticipated developments and other moving objects, simple autonomous flight guidance from the air is much more manageable to accomplish.

Since there are often fewer obstacles in the air compared with the ground, drones above the ground can be programmed more easily to fly toward certain pre-determined locations.

At the same time, unanticipated movements, objects or combat circumstances can easily occur in the skies as well, Zacharias said.

“The hardest thing is ground robotics. I think that is really tough. I think the air basically is today effectively a solved problem. The question is what happens when you have to react more to your environment and a threat is coming after you,” he said.

As a result, scientists are now working on advancing autonomy to the point where a drone can, for example, be programmed to spoof a radar system, see where threats are and more quickly identify targets independently.

At the same time, despite the speed at which unmanned technology is progressing, many scientists and weapons’ developers believe that human pilots will still be needed – given the speed at which the human brain can quickly respond to unanticipated developments.

There is often a two-second long lag time before a UAS in the air can respond to or implement directions from a remote pilot in a ground station, a circumstance which underscores the need for manned pilots when it comes to fighter jets, Air Force officials said.

Therefore, while cargo planes or bombers with less of a need to maneuver in the skies might be more easily able to embrace autonomous flight – fighter jets will still greatly benefit from human piloting, Air Force scientists have said.

However, sensor technology is progressing quickly to the point where fighter pilots will increasingly be able to identify threats at much greater distances, therefore remove the need to dogfight. As a result, there may be room for an unmanned fighter jet in the not-too-distant future, given the pace of improving autonomous technology.

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s