AAS Hyperwall Schedule

NASA Science at AAS Hyperwall Schedule, January 12-16, 2025

Join NASA in the Exhibit Hall (Booth #505) for Hyperwall Storytelling by NASA experts. Full Hyperwall Agenda below.

SUNDAY, JANUARY 12

MONDAY, JANUARY 13

TUESDAY, JANUARY 14

WEDNESDAY, JANUARY 15

THURSDAY, JANUARY 16

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NASA’s AI Use Cases: Advancing Space Exploration with Responsibility 

NASA’s 2024 AI Use Case inventory highlights the agency’s commitment to integrating artificial intelligence in its space missions and operations. The agency’s updated inventory consists of active AI use cases, ranging from AI-driven autonomous space operations, such as navigation for the Perseverance Rover on Mars, to advanced data analysis for scientific discovery. 

AI Across NASA 

NASA’s use of AI is diverse and spans several key areas of its missions: 

Autonomous Exploration and Navigation 

• AEGIS (Autonomous Exploration for Gathering Increased Science): AI-powered system designed to autonomously collect scientific data during planetary exploration. 

• Enhanced AutoNav for Perseverance Rover: Utilizes advanced autonomous navigation for Mars exploration, enabling real-time decision-making. 

• MLNav (Machine Learning Navigation): AI-driven navigation tools to enhance movement across challenging terrains. 

• Perseverance Rover on Mars – Terrain Relative Navigation: AI technology supporting the rover’s navigation across Mars, improving accuracy in unfamiliar terrain. 

Mission Planning and Management 

• ASPEN Mission Planner: AI-assisted tool that helps streamline space mission planning and scheduling, optimizing mission efficiency. 

• AWARE (Autonomous Waiting Room Evaluation): AI system that manages operational delays, improving mission scheduling and resource allocation. 

• CLASP (Coverage Planning & Scheduling): AI tools for resource allocation and scheduling, ensuring mission activities are executed seamlessly. 

• Onboard Planner for Mars2020 Rover: AI system that helps the Perseverance Rover autonomously plan and schedule its tasks during its mission. 

Environmental Monitoring and Analysis 

• SensorWeb for Environmental Monitoring: AI-powered system used to monitor environmental factors such as volcanoes, floods, and wildfires on Earth and beyond. 

• Volcano SensorWeb: Similar to SensorWeb, but specifically focused on volcanic activity, leveraging AI to enhance monitoring efforts. 

• Global, Seasonal Mars Frost Maps: AI-generated maps to study seasonal variations in Mars’ atmosphere and surface conditions. 

Data Management and Automation 

• NASA OCIO STI Concept Tagging Service: AI tools that organize and tag NASA’s scientific data, making it easier to access and analyze. 

• Purchase Card Management System (PCMS): AI-assisted system for streamlining NASA’s procurement processes and improving financial operations. 

Aerospace and Air Traffic Control 

• NextGen Methods for Air Traffic Control: AI tools to optimize air traffic control systems, enhancing efficiency and reducing operational costs. 

• NextGen Data Analytics: Letters of Agreement: AI-driven analysis of agreements within air traffic control systems, improving management and operational decision-making. 

Space Exploration 

• Mars2020 Rover (Perseverance): AI systems embedded within the Perseverance Rover to support its mission to explore Mars. 

• SPOC (Soil Property and Object Classification): AI-based classification system used to analyze soil and environmental features, particularly for Mars exploration. 

Ethical AI: NASA’s Responsible Approach 

NASA ensures that all AI applications adhere to Responsible AI (RAI) principles outlined by the White House in its Executive Order 13960. This includes ensuring AI systems are transparent, accountable, and ethical. The agency integrates these principles into every phase of development and deployment, ensuring AI technologies used in space exploration are both safe and effective. 

Looking Forward: AI’s Expanding Role 

As AI technologies evolve, NASA’s portfolio of AI use cases will continue to grow. With cutting-edge tools currently in development, the agency is poised to further integrate AI into more aspects of space exploration, from deep space missions to sustainable solutions for planetary exploration. 

By maintaining a strong commitment to both technological innovation and ethical responsibility, NASA is not only advancing space exploration but also setting an industry standard for the responsible use of artificial intelligence in scientific and space-related endeavors. 

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Kate Halloran

2023 Entrepreneurs Challenge Winner Skyline Nav AI: Revolutionizing GPS-Independent Navigation with Computer Vision

NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to identify innovative ideas and technologies from small business start-ups with the potential to advance the agency’s science goals. To help leverage external funding sources for the development of innovative technologies of interest to NASA, SMD involved the venture capital community in Entrepreneurs Challenge events. Challenge winners were awarded prize money, and in 2023 the total Entrepreneurs Challenge prize value was $1M. Numerous challenge winners have subsequently received funding from both NASA and external sources (e.g., other government agencies or the venture capital community) to further develop their technologies.

Skyline Nav AI, a winner of the 2023 NASA Entrepreneurs Challenge, is pioneering GPS-independent navigation by leveraging cutting-edge computer vision models, artificial intelligence (AI), and edge computing.

Skyline Nav AI’s flagship technology offers precise, real-time geolocation without the need for GPS, Wi-Fi, or cellular networks. The system utilizes machine learning algorithms to analyze terrain and skyline features and match them with preloaded reference datasets, providing up to centimeter-level accuracy in GPS-denied environments. This capability could enable operations in areas where GPS signals are absent, blocked, degraded, spoofed, or jammed, including urban canyons, mountainous regions, and the Moon.

Skyline Nav’s visual navigation technology can deliver accuracy up to five meters, 95% of the time. The AI-powered visual positioning models continuously improve geolocation precision through pixel-level analysis and semantic segmentation of real-time images, offering high reliability without the need for GPS.

In addition to its visual-based AI, Skyline Nav AI’s software is optimized for edge computing, ensuring that all processing occurs locally on the user’s device. This design enables low-latency, real-time decision-making without constant satellite or cloud-based connectivity, making it ideal for disconnected environments such as combat zones or space missions.

Furthermore, Skyline Nav AI’s technology can be integrated with various sensors, including inertial measurement units (IMUs), lidar, and radar, to further enhance positioning accuracy. The combination of visual navigation and sensor fusion can enable centimeter-level accuracy, making the technology potentially useful for autonomous vehicles, drones, and robotics operating in environments where GPS is unreliable.

“Skyline Nav AI aims to provide the world with an accurate, resilient alternative to GPS,” says Kanwar Singh, CEO of Skyline Nav AI. “Our technology empowers users to navigate confidently in even the most challenging environments, and our recent recognition by NASA and other partners demonstrates the value of our innovative approach to autonomous navigation.”

Skyline Nav AI continues to expand its influence through partnerships with organizations such as NASA, the U.S. Department of Defense, and the commercial market. Recent collaborations include projects with MIT, Draper Labs, and AFRL (Air Force Research Laboratory), as well as winning the MOVE America 2024 Pitch competition and being a finalist in SXSW 2024.

Sponsoring Organization: The NASA Science Mission Directorate sponsored the Entrepreneurs Challenge events.

Project Leads: Kanwar Singh, Founder & CEO of Skyline Nav AI

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NASA Kicks off Testing Campaign for Remotely Piloted Cargo Flights

NASA recently began a series of flight tests with partners to answer an important aviation question: What will it take to integrate remotely piloted or autonomous planes carrying large packages and cargo safely into the U.S. airspace? Researchers tested new technologies in Hollister, California, that are helping to investigate what tools and capabilities are needed to make these kinds of flights routine.  

The commercial industry continues to make advancements in autonomous aircraft systems aimed at making it possible for remotely operated aircraft to fly over communities – transforming the way we will transport people and goods. As the Federal Aviation Administration (FAA) develops standards for this new type of air transportation, NASA is working to ensure these uncrewed flights are safe by creating the required technological tools and infrastructure. These solutions could be scaled to support many different remotely piloted aircraft – including air taxis and package delivery drones – in a shared airspace with traditional crewed aircraft. 

“Remotely piloted aircraft systems could eventually deliver cargo and people to rural areas with limited access to commercial transportation and delivery services,” said Shivanjli Sharma, aerospace engineer at NASA’s Ames Research Center in California’s Silicon Valley. “We’re aiming to create a healthy ecosystem of many different kinds of remotely piloted operations. They will fly in a shared airspace to provide communities with better access to goods and services, like medical supply deliveries and more efficient transportation.”  

During a flight test in November, Reliable Robotics, a company developing an autonomous flight system, remotely flew its Cessna 208 Caravan aircraft through pre-approved flight paths in Hollister, California. 

Although a safety pilot was aboard, a Reliable Robotics remote pilot directed the flight from their control center in Mountain View, more than 50 miles away.

Congressional staffers from the United States House and Senate’s California delegation joined NASA Deputy Associate Administrator for Aeronautics Research Mission Directorate, Carol Caroll, Ames Aeronautics Director, Huy Tran, and other Ames leadership at Reliable Robotics Headquarters to view the live remote flight.

Researchers evaluated a Collins Aerospace ground-based surveillance system’s ability to detect nearby air traffic and provide the remote pilot with information in order to stay safely separated from other aircraft in the future. 

Initial analysis shows the ground-based radar actively surveilled the airspace during the aircraft’s taxi, takeoff, and landing. The data was transmitted from the radar system to the remote pilot at Reliable Robotics. In the future, this capability could help ensure aircraft remain safely separated across all phases of fight.   

While current FAA operating rules require pilots to physically see and avoid other aircraft from inside the cockpit, routine remotely piloted aircraft will require a suite of integrated technologies to avoid hazards and coordinate with other aircraft in the airspace.  

A radar system for ground-based surveillance offers one method for detecting other traffic in the airspace and at the airport, providing one part of the capability to ensure pilots can avoid collision and accomplish their desired missions. Data analysis from this testing will help researchers understand if ground-based surveillance radar can be used to satisfy FAA safety rules for remotely piloted flights. 

NASA will provide analysis and reports of this flight test to the FAA and standards bodies. 

“This is an exciting time for the remotely piloted aviation community,” Sharma said. “Among other benefits, remote operations could provide better access to healthcare, bolster natural disaster response efforts, and offer more sustainable and effective transportation to both rural and urban communities. We’re thrilled to provide valuable data to the industry and the FAA to help make remote operations a reality in the near future.”  

Over the next year, NASA will work with additional aviation partners on test flights and simulations to test weather services, communications systems, and other autonomous capabilities for remotely piloted flights. NASA researchers will analyze data from these tests to provide a comprehensive report to the FAA and the community on what minimum technologies and capabilities are needed to enable and scale remotely piloted operations. 

This flight test data analysis is led out of NASA Ames under the agency’s Air Traffic Management Exploration project. This effort supports the agency’s Advanced Air Mobility mission research, ensuring the United States stays at the forefront of aviation innovation. 

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Hillary Smith

NASA to Cover Two Spacewalks, Hold Preview News Conference

Two NASA astronauts will venture outside the International Space Station, conducting U.S. spacewalk 91 on Thursday, Jan. 16, and U.S. spacewalk 92 on Thursday, Jan. 23, to complete station upgrades.

NASA also will discuss the pair of upcoming spacewalks during a news conference at 2 p.m. EST Friday, Jan. 10, on NASA+ from the agency’s Johnson Space Center in Houston. Learn how to watch NASA content through a variety of platforms, including social media.

Participants in the news conference from NASA Johnson include:

• Bill Spetch, operations integration manager
• Nicole McElroy, spacewalk flight director

Media interested in participating in person or by phone must contact the NASA Johnson newsroom no later than 10 a.m. Wednesday, Jan. 8, at: 281-483-5111 or jsccommu@mail.nasa.gov. To ask questions, media must dial in no later than 15 minutes before the start of the news conference. A copy of NASA’s media accreditation policy is online. Questions also may be submitted on social media using #AskNASA.

The first spacewalk is scheduled to begin at 7 a.m. on Jan. 16, and last about six and a half hours. NASA will provide live coverage beginning at 5:30 a.m. on NASA+.

NASA astronauts Nick Hague and Suni Williams will replace a rate gyro assembly that helps provide orientation control for the station, install patches to cover damaged areas of light filters for an X-ray telescope called NICER (Neutron star Interior Composition Explorer), and replace a reflector device used for navigational data on one of the international docking adapters. Additionally, the pair will check access areas and connector tools that will be used for future maintenance work on the Alpha Magnetic Spectrometer.

Hague will serve as spacewalk crew member 1 and will wear a suit with red stripes. Williams will serve as spacewalk crew member 2 and will wear an unmarked suit. This will be the fourth for Hague and the eighth for Williams. It will be the 273rd spacewalk in support of space station assembly, maintenance, and upgrades.

The second spacewalk is scheduled to begin at 7 a.m. on Jan. 23, and last about six and a half hours. NASA will provide live coverage beginning at 5:30 a.m. on NASA+.

Astronauts will remove a radio frequency group antenna assembly from the station’s truss, collect samples of surface material for analysis from the Destiny laboratory and the Quest airlock to see whether microorganisms may exist on the exterior of the orbital complex, and prepare a spare elbow joint for the Canadarm2 robotic arm in the event it is needed for a replacement.

Following completion of U.S. spacewalk 91, NASA will name the participating crew members for U.S. spacewalk 92. It will be the 274th spacewalk in support of space station assembly, maintenance, and upgrades.

Learn more about International Space Station research and operations at:

https://www.nasa.gov/station

-end-

Claire O’Shea
Headquarters, Washington
202-358-1100
claire.a.o’shea@nasa.gov

Sandra Jones
Johnson Space Center, Houston
281-483-5111
sandra.p.jones@nasa.gov

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Jessica Taveau