Automation In Aircraft Has Proven - A robot has successfully landed a Boeing 737 simulator... and it did it with one hand. Built and operated by Aurora Flight Sciences as part of DARPA's Aircrew Labor In-Cockpit Automation System (ALIAS) program, the robotic landing was one of the flight maneuvers performed by the system as part of the development of an automated co-pilot. which can be quickly and cheaply installed in existing aircraft.
With his single, ugly hand manning the jet simulator's controls, he seems like an inadequate substitute for a human pilot. Far from it. ALIAS is a state-of-the-art system that aims to solve the very real problem of modern aircraft complexity. Not only is it very difficult for pilots to qualify in an unfamiliar aircraft without extensive training and practice, but flying such a craft can be very distracting - especially when administrative decisions need to be made in a hurry.
Automation In Aircraft Has Proven
Automated flight systems can help overcome these problems by acting as both an on-board trainer and co-pilot, but current engineering processes require either modifying the aircraft from scratch to incorporate them or requiring lengthy and expensive repairs that are individualized. There are jobs. Airframe Marks and Modifications.
Robot Co Pilot Alias Successfully Flies And Lands A Simulated Boeing 737
ALIAS is being developed to work around this. It is designed as a drop-down avionics and mechanical package that can be installed quickly and affordably on a variety of fixed-wing and rotorcraft, from the Cessna to the B-52. Once installed, ALIAS is able to analyze the aircraft and adapt the co-pilot's work.
Along with the robotic arm, the ALIAS system includes an advanced tablet user interface, speech recognition and machine learning. Alternative versions would release the robot and provide assistance to the pilot by tracking the aircraft's physical, procedural and mission status.
The idea is that once ALIAS is fully developed, it will be able to familiarize itself with the aircraft within a month and handle many of the pilot's tasks, allowing it to focus on high-level decision-making and disruption in emergency situations. Additionally, it will allow smaller crews to operate with a consequent reduction in operating costs.
ALIAS testing was performed on a Boeing 737-800NG simulator at the US Department of Transportation's John Volpe National Transportation System Center in Cambridge, Massachusetts. To date, ALIAS has been demonstrated on Cessna 208 Caravan, UH-1 Iroquois, DHC-2 Beaver aircraft and Diamond DA42 twin-engine propeller aircraft. The latter included a demonstration of the system's ability to initiate cockpit procedures in real time as the aircraft came through a simulated landing from 3,000 feet (915 m).
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"With successful demonstrations on a variety of aircraft, ALIAS has proven its versatile automated flight capabilities," says John Wisler, Aurora's vice president of research and development. "As we move towards fully automated flight from takeoff to landing, we can safely say that we have developed an automation system that allows for a significant reduction in crew workload."
David Zondi is a playwright, author, and journalist based in Seattle, Washington. A retired field archaeologist and university lecturer, he has a background in the history of science, technology and medicine, with special attention to space, the military and cybernetics. In addition, he is the author of four award-winning plays, a novel, reviews, and numerous scholarly works ranging from industrial archeology to jurisprudence. David has worked as a writer for several international magazines and has been a writer for New Atlas since 2011. Aurora is advancing ALIAS research, working on a system that will help pilots track the physical, procedural and mission of an aircraft. in the states
Artificial intelligence is predicted to take over the commercial and government aerospace community in the future as the development of the ALIAS automated robot reaches unprecedented milestones in avionics. DARPA (Defense Advanced Research Projects Agency) administers the ALIAS program, which aims to improve the safety of military flights and reduce crew requirements.
Military aircraft are in high demand to upgrade avionics technology and software to improve critical interface operations, effectively respond to emergencies and other unforeseen events. However, these aviation upgrades come at a high price, which can add millions of dollars per aircraft to the cost. And DARPA's solution to this involves a versatile, droppable, detachable suite that will add intelligent automation to existing aircraft, fully operational and capable of reducing overall manpower. This is where the latest automated robot called ALIAS (Aircrew Labor In-Cockpit Automation System) comes in. DARPA teamed up with developer Aurora Flight Sciences to develop an automated robotics program to create artificially intelligent co-pilots.
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ALIAS aims to help complete the entire mission, from takeoff and landing, even in stressful situations such as aircraft system malfunctions. With the ability to instantly recall flight procedures and continuous condition monitoring capabilities, ALIAS is designed to improve flight safety and stand in for pilots should they become incapacitated in any way. Automated robots will soon assist human pilots from takeoff to landing and even during emergencies. Because it can recognize standard gestures like swiping and tapping, pilots can control the aircraft using the ALIAS tablet interface function. This technology can be used in airplanes and helicopters.
DARPA's previous program manager, Daniel Pate, explains the long-term goal of his automated robotics pilot project in the early days of the program. "Our goal is to design and develop a full-time automated assistant that can quickly adapt to help control a wide variety of aircraft through an easy-to-use operator interface. These capabilities can help transform the pilot's role from system operator to mission manager. , leading Interconnected, reliable, trustworthy systems.
Other government organizations such as NASA, US Air Force, US Army also see this program as beneficial and are already providing support to further develop potential ALIAS applications. DARPA, along with these stakeholders, intends to continue working with the commercial and government space community to determine potential transition opportunities for artificially intelligent pilot systems.
After exceeding initial program goals in Phase 2 testing, DARPA program manager Scott Wirzbanowski announced the agency's plans for ALIAS. "In Phase 3, we plan to further improve ALIAS's ability to respond to contingencies, reduce pilot workload, and adapt to different missions and aircraft types. We are particularly interested in exploring intuitive human-machine interface approaches, including using hand-held devices. , which will allow users to more easily interact with and control the ALIAS system. Ultimately, we want to develop and demonstrate an advanced ALIAS system on up to seven previously tested fixed- and rotary-wing platforms.
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The era of self-driving cars is now a thing of the past, a new era has dawned and they are taking over the skies above us. Autonomous aircraft take center stage with Aurora Flight Science's latest ALIAS development. The co-pilot of the automated robot arm piloted a simulated Boeing 737 flight, which he successfully completed and landed autonomously.
ALIAS is essentially programmed to operate aircraft controls and understand aircraft instruments using invasive robotic manipulation and machine vision. One of the main goals of the automated robot is to train the system instantly and adapt to a new class of aircraft in less than a month. To do this, the system must acquire knowledge of the aircraft's flight dynamics, protocols and general air controls. Aurora also needed to develop an intuitive cockpit user interface that would allow a real pilot to interact with functions and work with ALIAS, one of the long-term goals of the project.
These technological developments are expected to improve the efficiency of current flight operations by automating robots with cockpit roles best performed by humans and roles best performed by automation. With such a working environment, pilots can improve their performance with less workload. It can also significantly reduce flight costs due to easier training and minimal crew requirements.
A few days ago, ALIAS was able to demonstrate its autonomous flight capabilities by successfully executing various flight scenarios in a Boeing 737 simulator. This latest success of the automated robot reinforces its previous component installation and testing on Diamond DA42, Cessna 208 Caravan, UH-1 Iroquois and DHC-2 Beaver aircraft.
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In its Boeing 737-800NG flight test, ALIAS was able to demonstrate the ability to safely land the aircraft autonomously using the existing 737 auto-landing system. The situation was stressful for Elias as he had to step into the pilot's seat and land the plane safely.
John Wisler, Aurora's vice president of research and development, said ALIAS has been able to prove its intended purpose. "By successfully demonstrating various aircraft, ALIAS has proven its versatile automated flight capabilities. By moving towards fully automated flight from takeoff to landing, we can safely say that we have developed an automation system that allows a significant reduction in flight crew workload. is."
ALIAS is currently integrated with cockpit machine vision, robotic components that enable flight control, a modern tablet user interface, speech recognition and synthesis, and instant learning capabilities.
Aurora
Robotic Co Pilot Autonomously Flies And Lands A Simulated Boeing 737
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