NASA and Boeing are currently evaluating an updated approach to the agency’s Sustainable Flight Demonstrator project that would focus on demonstrating thin-wing technology with broad applications for multiple aircraft configurations.

Boeing’s proposed focus centers on a ground-based testbed to demonstrate the potential for long, thin-wing technology. Work on the X-66 flight demonstrator – which currently incorporates a more complex transonic truss braced wing concept that uses the same thin wing technology as well as aerodynamic, structural braces — would pause for later consideration based on the thin-wing testbed results and further truss-braced configuration studies. 

Under this proposal, all aspects of the X-66 flight demonstrator’s design, as well as hardware acquired or modified for it, would be retained while the long, thin-wing technology is being investigated with more focus. NASA and Boeing would also continue to collaborate on research into the transonic truss-braced wing concept.

The proposal is based on knowledge gained through research conducted under the Sustainable Flight Demonstrator project so far.

Since NASA issued the Sustainable Flight Demonstrator award in 2023, the project has made significant progress toward its goal of informing future generations of more sustainable commercial airliners. Boeing and NASA have collaborated on wind tunnel tests, computational fluid dynamics modeling, and structural design and analysis aimed at exploring how best to approach fuel-efficient, sustainable designs.

This research has built confidence in the substantial potential energy-savings benefits that technologies investigated through the Sustainable Flight Demonstrator project and other NASA research can make possible. The Boeing proposal identifies the thin-wing concept as having broad applications for potential incorporation into aircraft with and without truss braces. 

NASA and Boeing are discussing potential options for advancing these sustainable flight technologies. NASA’s ultimate goal for this sustainable aircraft research is to achieve substantial improvements for next-generation airliner efficiency, lower costs for travelers, reduced fuel costs and consumption, and increase U.S. aviation’s technological leadership. 

From agriculture and law enforcement to entertainment and disaster response, industries are increasingly turning to drones for help, but the growing volume of these aircraft will require trusted safety management systems to maintain safe operations.

NASA is testing a new software system to create an improved warning system – one that can predict hazards to drones before they occur. The In-Time Aviation Safety Management System (IASMS) will monitor, assess, and mitigate airborne risks in real time. But making sure that it can do all that requires extensive experimentation to see how its elements work together, including simulations and drone flight tests.

“If everything is going as planned with your flight, you won’t notice your in-time aviation safety management system working,” said Michael Vincent, NASA acting deputy project manager with the System-Wide Safety project at NASA’s Langley Research Center in Hampton, Virginia. “It’s before you encounter an unusual situation, like loss of navigation or communications, that the IASMS provides an alert to the drone operator.”

The team completed a simulation in the Human-Autonomy Teaming Laboratory at NASA’s Ames Research Center in California’s Silicon Valley on March 5 aimed at finding out how critical elements of the IASMS could be used in operational hurricane relief and recovery.

During this simulation, 12 drone pilots completed three 30-minute sessions where they managed up to six drones flying beyond visual line of sight to perform supply drops to residents stranded after a severe hurricane. Additional drones flew scripted search and rescue operations and levee inspections in the background. Researchers collected data on pilot performance, mission success, workload, and perceptions of the experiences, as well as the system’s usability.

This simulation is part of a longer-term strategy by NASA to advance this technology. The lessons learned from this study will help prepare for the project’s hurricane relief and recovery flight tests, planned for 2027.  

As an example of this work, in the summer of 2024 NASA tested its IASMS during a series of drone flights in collaboration with the Ohio Department of Transportation in Columbus, Ohio, and in a separate effort, with three university-led teams.

For the Ohio Department of Transportation tests, a drone flew with the NASA-developed IASMS software aboard, which communicated back to computers at NASA Langley. Those transmissions gave NASA researchers input on the system’s performance.

NASA also conducted studies with The George Washington University (GWU), the University of Notre Dame, and Virginia Commonwealth University (VCU). These occurred at the U.S. Army’s Fort Devens in Devens, Massachusetts with GWU; near South Bend, Indiana with Notre Dame; and in Richmond, Virginia with VCU. Each test included a variety of types of drones, flight scenarios, and operators.

Each drone testing series involved a different mission for the drone to perform and different hazards for the system to avoid. Scenarios included, for example, how the drone would fly during a wildfire or how it would deliver a package in a city. A different version of the NASA IASMS was used to fit the scenario depending on the mission, or depending on the flight area.

When used in conjunction with other systems such as NASA’s Unmanned Aircraft System Traffic Management, IASMS may allow for routine drone flights in the U.S. to become a reality. The IASMS adds an additional layer of safety for drones, assuring the reliability and trust if the drone is flying over a town on a routine basis that it remains on course while avoiding hazards along the way.

“There are multiple entities who contribute to safety assurance when flying a drone,” Vincent said. “There is the person who’s flying the drone, the company who designs and manufactures the drone, the company operating the drone, and the Federal Aviation Administration, who has oversight over the entire National Airspace System. Being able to monitor, assess and mitigate risks in real time would make the risks in these situations much more secure.”

All of this work is led by NASA’s System-Wide Safety project under the Airspace Operations and Safety program in support of the agency’s Advanced Air Mobility mission, which seeks to deliver data to guide the industry’s development of electric air taxis and drones.

Imagine your car is in conversation with other traffic and road signals as you travel. Those conversations help your car anticipate actions you can’t see: the sudden slowing of a truck as it begins to turn ahead of you, or an obscured traffic signal turning red. Meanwhile, this system has plotted a course that will drive you toward a station to recharge or refuel, while a conversation with a weather service prepares your windshield wipers and brakes for the rain ahead.

This trip requires a lot of communication among systems from companies, government agencies, and organizations. How might these different entities – each with their own proprietary technology – share data safely in real time to make your trip safe, efficient, and enjoyable?

Technologists at NASA’s Ames Research Center in California’s Silicon Valley created a framework called Data & Reasoning Fabric (DRF), a set of software infrastructure, tools, protocols, governance, and policies that allow safe, secure data sharing and logical prediction-making across different operators and machines. Originally developed with a focus on providing autonomous aviation drones with decision-making capabilities, DRF is now being explored for other applications.

This means that one day, DRF-informed technology could allow your car to receive traffic data safely and securely from nearby stoplights and share data with other vehicles on the road. In this scenario, DRF is the choreographer of a complex dance of moving objects, ensuring each moves seamlessly in relation to one another towards a shared goal. The system is designed to create an integrated environment, combining data from systems that would otherwise be unable to interact with each other.

“DRF is built to be used behind the scenes,” said David Alfano, chief of the Intelligent Systems Division at Ames. “Companies are developing autonomous technology, but their systems aren’t designed to work with technology from competitors. The DRF technology bridges that gap, organizing these systems to work together in harmony.”

Traffic enhancements are just one use case for this innovative system. The technology could enhance how we use autonomy to support human needs on Earth, in the air, and even on the Moon.

Supporting Complex Logistics

To illustrate the technology’s impact, the DRF team worked with the city of Phoenix on an aviation solution to improve transportation of critical medical supplies from urban areas out to rural communities with limited access to these resources. An autonomous system identified where supplies were needed and directed a drone to pick up and transport supplies quickly and safely.

“All the pieces need to come together, which takes a lot of effort. The DRF technology provides a framework where suppliers, medical centers, and drone operators can work together efficiently,” said Moustafa Abdelbaky, senior computer scientist at Ames. “The goal isn’t to remove human involvement, but help humans achieve more.”

The DRF technology is part of a larger effort at Ames to develop concepts that enable autonomous operations while integrating them into the public and commercial sector to create safer, efficient environments.

“At NASA, we’re always learning something. There’s a silver lining when one project ends, you can identify a new lesson learned, a new application, or a new economic opportunity to continue and scale that work,” said Supreet Kaur, lead systems engineer at Ames. “And because we leverage all of the knowledge we’ve gained through these experiments, we are able to make future research more robust.”

Choreographed Autonomy

Industries like modern mining involve a variety of autonomous and advanced vehicles and machinery, but these systems face the challenge of communicating sufficiently to operate in the same area. The DRF technology’s “choreography” might help them work together, improving efficiency. Researchers met with a commercial mining company to learn what issues they struggle with when using autonomous equipment to identify where DRF might provide future solutions.

“If an autonomous drill is developed by one company, but the haul trucks are developed by another, those two machines are dancing to two different sets of music. Right now, they need to be kept apart manually for safety,” said Johnathan Stock, chief scientist for innovation at the Ames Intelligent Systems Division. “The DRF technology can harmonize their autonomous work so these mining companies can use autonomy across the board to create a safer, more effective enterprise.”

Further testing of DRF on equipment like those used in mines could be done at the NASA Ames Roverscape, a surface that includes obstacles such as slopes and rocks, where DRF’s choreography could be put to the test.

Stock also envisions DRF improving operations on the Moon. Autonomous vehicles could transport materials, drill, and excavate, while launch vehicles come and go. These operations will likely include systems from different companies or industries and could be choreographed by DRF.

As autonomous systems and technologies increase across markets, on Earth, in orbit, and on the Moon, DRF researchers are ready to step on the dance floor to make sure everything runs smoothly.

“When everyone’s dancing to the same tune, things run seamlessly, and more is possible.”