Results 51 to 60 of about 104,156 (247)

Crater Observing Bioinspired Rolling Articulator (COBRA)

open access: yesAdvanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame   +4 more
wiley   +1 more source

Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD

open access: yesAdvances in Astronomy, 2019
The Lunar Penetrating Radar (LPR) is one of the important scientific payloads in China’s Chang’E-3 (CE-3) to image within 100 m below the lunar surface. The acquired LPR data is significant for the research of lunar geological structure.
Bin Hu   +3 more
doaj   +1 more source

The Effect of Tip Design on Technological Performance During the Exploration of Earth, Lunar, and Martian Soil Environments

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper investigates the penetration performance of soil‐burrowing probes with different tip designs during shallow‐depth penetration in various media, including terrestrial soils (Hostun sand) and well‐characterized planetary soil simulants (LHS‐1 Lunar regolith simulant and MGS‐1 Martian regolith simulant).
Serena Rosa Maria Pirrone   +4 more
wiley   +1 more source

Numerical Study of Cone Penetration Tests in Lunar Regolith for Strength Index

open access: yesApplied Sciences
The cohesive properties of lunar regolith, combined with a low-gravity environment, result in it having a distinct mechanical behavior from sandy soil on Earth.
Xueliang Zhao   +4 more
doaj   +1 more source

Noble gases and nitrogen in material from asteroid Bennu

open access: yesMeteoritics &Planetary Science, EarlyView.
Abstract We report the elemental and isotopic abundances of all stable noble gases (helium, neon, argon, krypton, and xenon) in eight particles from asteroid Bennu returned by NASA's OSIRIS‐REx mission. We also report nitrogen abundances and isotopic ratios that were analyzed alongside neon and argon in four additional Bennu particles.
B. Marty   +7 more
wiley   +1 more source

Development and characterization of the PolyU-1 lunar regolith simulant based on Chang’e-5 returned samples

open access: yesInternational Journal of Mining Science and Technology
Leading national space exploration agencies and private enterprises are actively engaged in lunar exploration initiatives to accomplish manned lunar landings and establish permanent lunar bases in the forthcoming years.
Yuan Zou   +5 more
doaj   +1 more source

The fall of the Haag (LL4‐6) chondrite breccia—Just 8 years after the nearby fall Stubenberg (LL6)

open access: yesMeteoritics &Planetary Science, EarlyView.
Abstract On October 24, 2024, an impressive fireball was visible over Austria. After the possible strewn field was calculated, the first sample of the Haag meteorite, with a mass of 8.76 g, was discovered on November 2, 2024, 8 days after the fireball event. Four more samples were found afterward putting the total sample mass at about 151 g.
Addi Bischoff   +25 more
wiley   +1 more source

Advances in Solidification Technologies of Lunar Regolith-Based Building Materials Under Extreme Lunar Environments

open access: yesBuildings
With the launch of the Artemis program and the International Lunar Research Station project, the construction of lunar bases has emerged as a global research focus. In situ manufacturing technologies for robust lunar regolith-based building materials are
Jun Chen, Ruilin Li
doaj   +1 more source

Three‐dimensional morphological analysis of Chang'e‐5 lunar soil using deep learning‐automated segmentation on computed tomography scans

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Grain morphology is a fundamental characteristic of lunar soil that influences its mechanical properties, sintering behavior, and in situ resource utilization. However, traditional two‐dimensional imaging methods are time‐consuming and lack full three‐dimensional (3D) structural information. This study presents an automated deep learning‐based
Siqi Zhou   +6 more
wiley   +1 more source

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