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By European Space Agency
The deadline to apply for ESA’s Junior Professional Programme (JPP) is fast approaching, with applications closing on 5 June. The JPP is a unique opportunity for recent graduates and early-career professionals to gain hands-on experience at one of the world’s leading space organisations. Successful candidates will work on real ESA projects alongside experienced experts in fields ranging from engineering and science to business and administration. If you are ready to take the first step towards a future in space, don’t miss this opportunity. Submit your application before the 5 June deadline.
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By NASA
NASA named Stanford University of California winner of the Lunar Autonomy Challenge, a six-month competition for U.S. college and university student teams to virtually map and explore using a digital twin of NASA’s In-Situ Resource Utilization Pilot Excavator (IPEx).
The winning team successfully demonstrated the design and functionality of their autonomous agent, or software that performs specified actions without human intervention. Their agent autonomously navigated the IPEx digital twin in the virtual lunar environment, while accurately mapping the surface, correctly identifying obstacles, and effectively managing available power.
Lunar simulation developed by the winning team of the Lunar Autonomy Challenge’s first place team from Stanford University.Credit: Stanford University’s NAV Lab team Lunar simulation developed by the winning team of the Lunar Autonomy Challenge’s first place team from Stanford University.Credit: Stanford University’s NAV Lab team Team photo of NAV Lab Lunar Autonomy Challenge from Stanford UniversityCredit: Stanford University’s NAV Lab team The Lunar Autonomy Challenge has been a truly unique experience. The challenge provided the opportunity to develop and test methods in a highly realistic simulation environment."
Adam dai
Lunar Autonomy Challenge team lead, Stanford University
Dai added, “It pushed us to find solutions robust to the harsh conditions of the lunar surface. I learned so much through the challenge, both about new ideas and methods, as well as through deepening my understanding of core methods across the autonomy stack (perception, localization, mapping, planning). I also very much enjoyed working together with my team to brainstorm different approaches and strategies and solve tangible problems observed in the simulation.”
The challenge offered 31 teams a valuable opportunity to gain experience in software development, autonomy, and machine learning using cutting-edge NASA lunar technology. Participants also applied essential skills common to nearly every engineering discipline, including technical writing, collaborative teamwork, and project management.
The Lunar Autonomy Challenge supports NASA’s Lunar Surface Innovation Initiative (LSII), which is part of the Space Technology Mission Directorate. The LSII aims to accelerate technology development and pursue results that will provide essential infrastructure for lunar exploration by collaborating with industry, academia, and other government agencies.
The work displayed by all of these teams has been impressive, and the solutions they have developed are beneficial to advancing lunar and Mars surface technologies as we prepare for increasingly complex missions farther from home.”
Niki Werkheiser
Director of Technology Maturation and LSII lead, NASA Headquarters
“To succeed, we need input from everyone — every idea counts to propel our goals forward. It is very rewarding to see these students and software developers contributing their skills to future lunar and Mars missions,” Werkheiser added.
Through the Lunar Autonomy Challenge, NASA collaborated with the Johns Hopkins Applied Physics Laboratory, Caterpillar Inc., and Embodied AI. Each team contributed unique expertise and tools necessary to make the challenge a success.
The Applied Physics Laboratory managed the challenge for NASA. As a systems integrator for LSII, they provided expertise to streamline rigor and engineering discipline across efforts, ensuring the development of successful, efficient, and cost-effective missions — backed by the world’s largest cohort of lunar scientists.
Caterpillar Inc. is known for its construction and excavation equipment and operates a large fleet of autonomous haul trucks. They also have worked with NASA for more than 20 years on a variety of technologies, including autonomy, 3D printing, robotics, and simulators as they continue to collaborate with NASA on technologies that support NASA’s mission objectives and provide value to the mining and construction industries.
Embodied AI collaborated with Caterpillar to integrate the simulation into the open-source driving environment used for the challenge. For the Lunar Autonomy Challenge, the normally available digital assets of the CARLA simulation platform, such as urban layouts, buildings, and vehicles, were replaced by an IPEx “Digital Twin” and lunar environmental models.
“This collaboration is a great example of how the government, large companies, small businesses, and research institutions can thoughtfully leverage each other’s different, but complementary, strengths,” Werkheiser added. “By substantially modernizing existing tools, we can turn today’s novel technologies into tomorrow’s institutional capabilities for more efficient and effective space exploration, while also stimulating innovation and economic growth on Earth.”
FINALIST TEAMS
First Place
NAV Lab team
Stanford University, Stanford, California
Second Place
MAPLE (MIT Autonomous Pathfinding for Lunar Exploration) team
Massachusetts Institute of Technology, Cambridge, MA
Third Place
Moonlight team
Carnegie Mellon University, Pittsburgh, PA
OTHER COMPETING TEAMS
Lunar ExplorersArizona State UniversityTempe, ArizonaAIWVU West Virginia University Morgantown, West VirginiaStellar Sparks California Polytechnic Institute Pomona Pomona, California LunatiX Johns Hopkins University Whiting School of EngineeringBaltimore CARLA CSU California State University, Stanislaus Turlock, CaliforniaRose-Hulman Rose-Hulman Institute of Technology Terre Haute, IndianaLunar PathfindersAmerican Public University SystemCharles Town, West Virginia Lunar Autonomy Challenge digital simulation of lunar surface activity using a digital twin of NASA’s ISRU Pilot ExcavatorJohns Hopkins Applied Physics Laboratory Keep Exploring Discover More Topics From NASA
Space Technology Mission Directorate
NASA’s Lunar Surface Innovation Initiative
Game Changing Development Projects
Game Changing Development projects aim to advance space technologies, focusing on advancing capabilities for going to and living in space.
ISRU Pilot Excavator
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By European Space Agency
Video: 00:03:23 Astrophysicist and Nobel Prize Laureate Didier Queloz answers the who, what, where, when and why of exoplanets in this 3-part series.
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By NASA
In an open challenge, NASA is seeking innovative business models that propose new approaches to solving complex Earth science problems using unconventional computing methods and is holding an informational webinar on Monday, April 28.
The agency’s Beyond the Algorithm Challenge, sponsored by NASA’s Earth Science Technology Office, asks for proposals to more rapidly and accurately understand our home planet using transformative computing methods such as quantum computing, quantum machine learning, neuromorphic computing, in-memory computing, or other approaches.
The Beyond the Algorithm Challenge kicked off in March and consists of three phases. Participant submissions, which are due on July 25, will be evaluated based on creativity, technical feasibility, impact, business model evaluation, and presentation. Up to 10 finalists will be invited to present their ideas to a panel of judges at a live pitch event, and winners will a monetary prize.
For details about the challenge, interested participants can sign up for the informational webinar on Monday, April 28, here.
Using the vantage point of space, NASA’s observations of Earth increase our understanding of our home planet, improve lives, and safeguard our future. The capabilities of NASA’s Earth Science Division include developing new technology, delivering actionable science, and providing environmental information to meet the increased demand for more sophisticated, more accurate, more trustworthy, and more actionable environmental information for decision-makers and policymakers.
For example, rapid flood analysis is one area that may benefit from computing advancements. Flood hazards affect personal safety and land use, directly affecting individual livelihoods, community property, and infrastructure development and resilience. Advanced flood analysis capability enables contributions to protect and serve impacted communities, making a tangible difference in areas such as disaster preparedness, recovery, and resilience.
Advancements in computing capabilities show promise in overcoming processing power, efficiency, and performance limitations of conventional computing methods in addressing Earth science challenges like rapid flood analysis. Quantum computers offer a fundamentally different paradigm of computation and can solve certain classes of problems exponentially faster than their classical counterparts. Likewise, quantum machine learning offers the potential to reduce required training data or produce more accurate models. The emerging field of neuromorphic, or brain-inspired, computing holds significant promise for algorithm development optimized for high-speed, low power. And in-memory computing saves time and energy for data-heavy processes like artificial intelligence training.
Blue Clarity is hosting the Beyond the Algorithm Challenge on behalf of NASA. The NASA Tournament Lab, part of the Prizes, Challenges, and Crowdsourcing program in the Space Technology Mission Directorate, manages the challenge. The program supports global public competitions and crowdsourcing as tools to advance NASA research and development and other mission needs.
For more information about the contest and a full list of rules and eligibility requirements, visit:
https://www.nasa-beyond-challenge.org
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By Space Force
A joint-task force of Guardsmen and Reservists conquer air, space, and sea to provide Human Space Flight Support training for astronaut retrieval through search and rescue.
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