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By NASA
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 3 min read
Curiosity Blog, Sols 4618-4619: The Boxwork Structures Continue to Call to Us
NASA’s Mars rover Curiosity acquired this image using its Left Navigation Camera on Aug. 1, 2025 — Sol 4616, or Martian day 4,616 of the Mars Science Laboratory mission — at 03:36:56 UTC. NASA/JPL-Caltech Written by Ashley Stroupe, Mission Operations Engineer and Rover Planner at NASA’s Jet Propulsion Laboratory
Earth planning date: Friday, Aug. 1, 2025.
Now that we have reached August, our “landiversary” (anniversary of landing — Aug. 5 PDT) is less than a week away! The team is looking forward to being able to celebrate the milestone of our rover becoming a teenager at 13. Today’s image is a beautiful back-lit late afternoon image of the nearby mountains and the distant crater rim. These views make working on Mars never get old!
The first sol of today’s plan is very busy because we will only have data from the first sol down in time for planning on Monday. Today I was working as a Rover Planner, supporting both arm and drive activities. We start first thing with arm activities; we DRT brush and do APXS integration on the target “San Cristóbal,” which is a bedrock target, and the only place in the workspace smooth and flat enough for us to brush.
After a brief nap, we have an extensive imaging campaign. We take Mastcam images of the AEGIS target from the previous plan and two potential vein targets “Rio Satja” and “Río Ichilo.” We then take Mastcam stereo mosaics of boxwork targets “Pontezuelo” and “Catedrales de Tara.” Additionally we have stereo mosaics of “Llanos de Challe,” a transition between the bedrock in the boxwork hollow and the boxwork ridge, a nearby light-toned exposure, and some additional troughs and ridges. ChemCam then takes a LIBS observation of “Airport Domes,” which is another hollow in the boxworks. Finally, we take a ChemCam RMI and a Mastcam of Pontezuelo.
After finishing all the imaging, we continue with the rest of the arm activities. We split the arm activities to accommodate conflicting constraints — both APXS and ChemCam both need to be as early as possible. In this set of arm activities, we begin with MAHLI imaging of the two targets, San Cristóbal and “Salar de Agua Amara,” which consists of delicate branching structures likely made by groundwater.
After another short nap, we do a small adjustment in our position to get another interesting piece of bedrock ridge in our workspace. In order to approach it at a good angle, we first drive parallel to the ridge to be lined up with the target, and then we turn and drive straight to it. Due to constraints on how we like to park at targets, sometimes these shorter drives can be more complicated than longer ones — but today it was simpler. After completing the drive, we unstow the arm to get a clear view of our workspace for Monday’s planning as well as our standard post-drive imaging and then Curiosity goes to sleep for the night.
The second sol of the plan is a bit more leisurely. Around midday, Curiosity will be taking some atmospheric observations, including a Navcam dust-devil survey and a south-facing suprahorizon movie, followed by an AEGIS activity where the rover gets to pick targets and observe them herself. Then, early the next morning, Curiosity will wake up to take some additional atmospheric observations, including Navcam zenith and suprahorizon movies, Navcam line-of-sight toward the crater rim, and a Mastcam solar tau to measure dust in the atmosphere. Finally, she’ll get a short nap before waking up to start the next plan.
Learn more about Curiosity’s science instruments
For more Curiosity blog posts, visit MSL Mission Updates
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By European Space Agency
Video: 00:12:58 Watch the replay of the call between Josef Aschbacher, ESA Director General, Andrius Kubilius, EU Commissioner for Defence and Space, and Sławosz Uznański-Wiśniewski, ESA project astronaut. This call took place at the Paris Air Show 2025 (Le Bourget) on 18 June. Project astronaut Uznański-Wiśniewski joined from quarantine ahead of the upcoming Ignis mission mission.
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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.”
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