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SAMPLR is a lunar robotic arm payload built by Maxar with the Colorado School of Mines and NASA Goddard, selected as one of twelve payloads under NASA’s Lunar Surface Instrument and Technology Payload program for delivery on a Commercial Lunar Payload Services flight [11][15]. It consists of an arm, a sieve-scoop, a penetrometer and a camera system.

The arm is a second-generation Instrument Deployment Device, an evolution of the arms Maxar built for the Mars Exploration Rovers Spirit and Opportunity, with motors compatible with the lunar environment replacing the Martian ones [11]. The scoop descends from the same company’s scoop built for the canceled 2001 Mars lander and later flown on InSight. The penetrometer is a different lineage, derived from the In Situ Experimental Probe developed at the Colorado School of Mines under NASA’s SSERVI IMPACT team.

The payload’s primary objectives are to demonstrate the next-generation arm on the lunar surface, to capture regolith geotechnical data with the penetrometer, and to demonstrate a sieve-scoop that isolates and delivers particles of a wanted size to a lander or rover [11].

ParameterValueSource
Degrees of freedom5, reducible[11]
Designed arm lengths1 m and 2 m
Supported mounting height0.5 to 1 m for the 1 m arm, up to 2 m for the 2 m arm
End effectorforce-torque sensor and a turret with up to four radial instrument mounts
Scoop sieves2, different mesh sizes, in the scoop side walls
Turret positions used2 of 4, by the penetrometer and the sieve-scoop

Mass, joint torques, tip speed, work volume, power and positioning accuracy are not published, and neither arm length has been selected. A mass budget, once published, would be checked against the lunar surface itself rather than a simulant bin: the Lunar Sourcebook’s recommended intercrater bulk density runs from 1.50 g/cm3 in the top 15 cm to 1.66 g/cm3 by 60 cm depth, with a recommended shear strength of friction angle 49 degrees and cohesion 1.6 kPa averaged over that same 60 cm [3].

The payload was manifested on Masten Mission One, a CLPS delivery to the lunar south pole that did not fly [11][15]. No mass, power or accommodation figures from a current assignment have been published.

None. The arm is fixed to its host lander and reaches within its own work volume.

Five degrees of freedom is the baseline, with the explicit option of building fewer joints where a mission’s task set allows it, which the designers frame as a mass and cost trade rather than a capability one [11]. The end of the arm carries a six-axis wrist force-torque sensor, the most accurate of five contact-force techniques compared on an arm kinematically equivalent to the MER Instrument Deployment Device, holding within 1 percent of its rated range against a load-cell reference where joint-torque and motor-current sensing suffered cross-axis errors up to 15 N; link strain gauges, the next most accurate technique compared, still trailed flexibility modeling and were judged useful only for detecting an arm collision; the wrist sensor’s own RMS error against the load-cell reference ran 0.41 to 1.19 N across runs [6]. The turret has as many as four radial mounting locations. Two are taken by the payload’s own tools, and the remaining two are offered to other instruments, which is one of the ways SAMPLR is described as enabling for other payloads.

Arm length is set by the host rather than by the task. Both 1 m and 2 m configurations were designed against mounting heights of 0.5 to 1 m and up to 2 m above the surface, so the arm adapts to whatever deck height the commercial lander provides [11].

Not published.

Not published.

Not published.

Demonstrating variable autonomy to aid telerobotic missions is listed as a secondary objective [11]. What that means in implementation, and what the arm does without an operator, is not described.

Through the host lander.

The sieve-scoop collects regolith and sieves it. Two sieves of different mesh size are built into the scoop’s side walls, so a particle size can be bracketed between a large and a small cutoff rather than merely capped, and flow through the sieves is induced by rotating and vibrating the scoop [11]. Sample mass is measured with the wrist force-torque sensor rather than with a dedicated instrument. The scoop also removes surface material to expose regolith below it for other instruments, and can move rocks out of the work volume to a limited extent.

The penetrometer uses the arm as its linear translation mechanism and the wrist force-torque sensor as its instrument. From penetration and stress-relaxation forces it yields bulk relative density, cohesive behavior and surface strength. The supporting data published for it is from the predecessor In Situ Experimental Probe rather than from SAMPLR hardware: penetration force curves separating low-density JSC-1A from high-density GRC-3 simulant [11], measured at Earth gravity. How far that carries to the Moon depends on how dense the regolith already is: magnetically counter-weighted static cone penetration tests show the drop in penetration resistance from 1 g to lunar gravity runs from about 29 percent at 40 percent relative density to only about 9 percent at 76 percent relative density, and in situ lunar regolith reaches roughly 90 percent relative density by 60 cm depth [4]. Two-dimensional discrete-element modeling attributes the gravity dependence to force chains: reduced gravity does not remove the interlocking and friction that angular, densely packed grains supply, which is why normalized penetration resistance rises sharply as gravity falls even though raw resistance drops [4]. The lunar reference values the curves would be checked against, a cohesion of 1.6 kPa averaged over the top 60 cm by the Lunar Sourcebook’s synthesis of Apollo and Lunokhod data or 0.52 to 3.0 kPa by depth in NASA’s simulant guide, are not targets JSC-1A or GRC-3 is shown to hit: a standardized comparison of six simulants matched to the lunar particle size distribution found cohesion still differing by as much as 355 percent between them [3][12][7]. The abstract also proposes, citing that earlier IEP work rather than demonstrating it on SAMPLR hardware, that the rates of change of penetration resistance and of stress relaxation can indicate the water ice content of a regolith-ice mixture in a permanently shadowed region [11]; LCROSS ejecta modeling of one such region puts the ice-bearing layer at about 5.8 m thick with a water mass concentration of roughly 4 to 8 percent by weight, for a total pre-impact water ice mass in that permanently shadowed region of roughly 5 times 10^11 kg [8], the scale of signal the technique would need to resolve.

Not published as a set. The described activities are work volume mapping with the camera system, scooping, sieving and delivery, penetrometry at the surface and at depth beneath removed material, and imaging of the surrounding terrain and of the lander and its payloads [11]. Scooping into regolith of unknown consistency is a known source of delay for arms of this class: Phoenix’s 4-DOF arm found indurated icy layers 3 to 10 cm below the surface across nearly its whole workspace, detected through rising joint torque and motion-impeded events rather than by a dedicated sensor, and needed a rasp on the back of its scoop to cut through them [1]. SAMPLR’s published activity list has no equivalent subsurface-hardness step: the camera system maps the work volume and the force-torque sensor weighs what the scoop collects, neither of which is described as flagging a hard layer before the scoop reaches it [11]. An off-nominal mode of the kind InSight improvised over hundreds of sols after its self-hammering mole stalled, pressing and chopping with the arm and scoop to recover a different instrument, is likewise not among the modes SAMPLR’s abstract describes; that recovery campaign, run on a dedicated anomaly-response testbed at JPL, spanned frangibolt firing on sol 87 through the end of the recovery effort on sol 754 [13][14]. A lighter arm handling icy soil has managed sample delivery before: Phoenix’s arm delivered 18 samples across 53 dig sequences, including 8 to an optical microscope and 6 to a thermal evolved-gas analyzer, over more than 150 sols [1], a cadence against which SAMPLR’s own future delivery rate would be compared.

Not published for SAMPLR itself. Geotechnical characterization from a bin of simulant is sensitive to how the bin was prepared: a 150 kg BP-1 test bed for an unrelated plume-surface test found that unbaked simulant erupted below 2 Torr regardless of compaction, that vibratory compaction tripled to eightfold the scatter in measured shear strength while producing an inverted density profile, and that the most repeatable bin state came from pouring the simulant in from a scoop with no compaction step at all [9]. Whatever ground rig eventually qualifies SAMPLR’s penetrometer and sieve-scoop against JSC-1A or GRC-3 inherits that sensitivity: a reading is only as good as the bin it was taken from, and the same fidelity problem applies one level up, since a standardized six-simulant comparison found cohesion differing by up to 355 percent between simulants matched to the same lunar particle size distribution [7]. The Lunar Sourcebook and NASA’s own simulant guide agree that no terrestrial feedstock reproduces lunar mineralogy, density and shear strength together, which is why both recommend that a reported cohesion or friction angle always be published alongside the relative density it was measured at [3][12]. NASA’s simulant guide scores fourteen commercial and NASA simulants against Apollo and Luna reference data with a quantitative Figure of Merit across mineralogy, chemistry, particle size, particle geometry, density, magnetic susceptibility and shear strength, and its headline conclusion is that no single simulant wins across all seven [12]. Even the simulant itself needs upkeep between runs: BP-1 baked at 250 F for 2 hours stays usable for a month if kept sealed with desiccant, but a vacuum eruption during pump-down invalidates any geotechnical reading taken before it [9], and a standardized comparison found a highland simulant selected for a 110 metric ton testbed running 355 percent higher in cohesion than the lunar highland estimate despite matching density, compression index and friction angle within 30 percent [7].

The program’s engineering result is a reuse argument made concrete. A Mars Exploration Rover arm design, twenty years old and flight proven across two rovers, is re-motored for the lunar environment and offered with a configurable joint count and two lengths, so that the same arm fits landers whose deck heights differ by a factor of four [11]. The scoop follows the same pattern from a different ancestor, the 2001 Mars lander scoop that eventually flew on InSight, modified with two side-wall sieves. That earlier scoop’s flight record includes years of off-label use: after InSight’s self-hammering HP3 mole stalled at 31 cm instead of the planned 3 to 5 m, the mission spent from sol 87 to sol 754 using the arm and scoop to press on and pin the mole and chop at the cohesive duricrust that had stopped it, turning the recovery attempt into a soil-mechanics experiment in its own right [13][14]. What the arm and scoop measured while chopping at the duricrust, a cohesion of 5.8 kPa by scoop-blade shear against 4 to 25 kPa from cone-penetration theory, and a penetration resistance of 0.5 to 1.2 MPa in the crust rising to 5.3 MPa below 30 cm [14], is the kind of scoop-derived geotechnical reading SAMPLR’s own scoop and penetrometer are meant to produce on the Moon.

The second result is the pairing of the wrist force-torque sensor with the arm’s own linear motion to make a penetrometer, so that geotechnical measurement costs a probe on a turret rather than a dedicated instrument with its own actuator [11]. Whether it works on the Moon is untested: every published measurement comes from the predecessor probe in Earth-gravity simulant, and how much of a penetration-resistance reading survives the trip depends on the regolith’s relative density in ways not yet worked out for this design [4]. The permanently shadowed regions the water-ice mode targets are not uniform either: refitted LCROSS ejecta data from Cabeus put the ice concentration there at 8.2 percent by weight near the surface, rising with depth over a roughly 5.8 m ice-bearing layer, a profile a single penetrometer insertion would only sample a slice of [8].

References

  1. Bonitz, R., Shiraishi, L., Robinson, M., Carsten, J., Volpe, R., Trebi-Ollennu, A., Arvidson, R. E., Chu, P. C., Wilson, J. J. and Davis, K. R. (2009). The Phoenix Mars Lander Robotic Arm . IEEE Aerospace Conference. Source
    BibTeX
    @inproceedings{bonitz2009phoenix,
      title = {The Phoenix Mars Lander Robotic Arm},
      author = {Bonitz, Robert and Shiraishi, Lori and Robinson, Matthew and Carsten, Joseph and Volpe, Richard and Trebi-Ollennu, Ashitey and Arvidson, Raymond E. and Chu, P. C. and Wilson, J. J. and Davis, K. R.},
      booktitle = {IEEE Aerospace Conference},
      pages = {1-12},
      organization = {Jet Propulsion Laboratory, California Institute of Technology},
      address = {Big Sky, Montana},
      year = {2009},
      doi = {10.1109/aero.2009.4839306},
      abstract = {The Phoenix Mars Lander Robotic Arm (RA) has operated for 149 sols since the Lander touched down on the north polar region of Mars on May 25, 2008. During its mission it has dug numerous trenches in the Martian regolith, acquired samples of Martian dry and icy soil, and delivered them to the Thermal Evolved Gas Analyzer (TEGA) and the Microscopy, Electrochemistry, and Conductivity Analyzer (MECA). The RA inserted the Thermal and Electrical Conductivity Probe (TECP) into the Martian regolith and positioned it at various heights above the surface for relative humidity measurements. The RA was used to point the Robotic Arm Camera to take images of the surface, trenches, samples within the scoop, and other objects of scientific interest within its workspace. Data from the RA sensors during trenching, scraping, and trench cave-in experiments have been used to infer mechanical properties of the Martian soil. This paper describes the design and operations of the RA as a critical component of the Phoenix Mars Lander necessary to achieve the scientific goals of the mission.}
    }
  2. Carrier, W. D. I., Olhoeft, G. R. and Mendell, W. (1991). Physical Properties of the Lunar Surface . Lunar Sourcebook: A User's Guide to the Moon. Source
    BibTeX
    @incollection{carrier1991physical,
      title = {Physical Properties of the Lunar Surface},
      author = {Carrier, W. David, III and Olhoeft, Gary R. and Mendell, Wendell},
      editor = {Heiken, Grant H. and Vaniman, David T. and French, Bevan M.},
      booktitle = {Lunar Sourcebook: A User's Guide to the Moon},
      pages = {475--594},
      publisher = {Cambridge University Press},
      chapter = {9},
      year = {1991},
      url = {https://www.lpi.usra.edu/publications/books/lunar_sourcebook/pdf/Chapter09.pdf}
    }
  3. Chen, J., Li, R. and Fu, S. (2026). Influence of Low Gravity on the Penetration Resistance of Lunar Regolith . npj Microgravity. Source
    BibTeX
    @article{chen2026influence,
      title = {Influence of Low Gravity on the Penetration Resistance of Lunar Regolith},
      author = {Chen, Jun and Li, Ruilin and Fu, Shigen},
      journal = {npj Microgravity},
      volume = {12},
      pages = {7},
      year = {2026},
      doi = {10.1038/s41526-026-00562-8},
      abstract = {Abstract Lunar surface operations conducted by the United States and the Soviet Union confirmed that penetration resistance is a key indicator for evaluating the engineering properties of lunar regolith. To quantitatively assess the influence of reduced gravity on penetration resistance, this study employed a newly developed Geotechnical Magnetic-gravity Modeling Test (GMMT) system to perform cone penetration tests under controlled gravitational acceleration levels of 1/6 g, 1 g, and 2 g. The results indicated that the normalized penetration resistance increased as gravity decreased, and this effect was amplified at higher relative densities. To investigate the underlying mechanisms, discrete element method (DEM) simulations were conducted. The findings revealed that, in addition to gravity, in situ factors such as high relative density and irregular particle morphology also significantly enhanced penetration resistance by strengthening interparticle contact and friction. These non-gravitational effects partially offset the expected reduction in resistance under lower gravity, leading to a smaller-than-anticipated decline. This study provides new insights into the gravity-dependent penetration behavior of lunar regolith.}
    }
  4. Helmick, D., Okon, A. and DiCicco, M. (2006). A Comparison of Force Sensing Techniques for Planetary Manipulation . IEEE Aerospace Conference. Source
    BibTeX
    @inproceedings{helmick2006comparison,
      title = {A Comparison of Force Sensing Techniques for Planetary Manipulation},
      author = {Helmick, Daniel and Okon, Avi and DiCicco, Matt},
      booktitle = {IEEE Aerospace Conference},
      pages = {1-14},
      address = {Big Sky, Montana},
      year = {2006},
      doi = {10.1109/aero.2006.1655724},
      abstract = {Five techniques for sensing forces with a manipulator are compared analytically and experimentally. The techniques compared are: a six-axis wrist force/torque sensor, joint torque sensors, link strain gauges, motor current sensors, and flexibility modeling. The accuracy and repeatability of each technique is quantified and compared. The relative complexity and the impact on flight design of each technique are also compared. The results presented can be used in a trade study for missions requiring manipulator force sensing capabilities}
    }
  5. Jehn, M., Just, G. H., Sargeant, H. M., Long-Fox, J. and Britt, D. T. (2025). Implications of Lunar Simulant Geotechnical Properties on Testbed Experimentation and Engineering Analysis . Space and Planetary Resources. Source
    BibTeX
    @article{jehn2025implications,
      title = {Implications of Lunar Simulant Geotechnical Properties on Testbed Experimentation and Engineering Analysis},
      author = {Jehn, Marcus and Just, Gabriele H. and Sargeant, Hannah M. and Long-Fox, Jared and Britt, Daniel T.},
      journal = {Space and Planetary Resources},
      volume = {1},
      pages = {5},
      year = {2025},
      doi = {10.1007/s44461-025-00002-7},
      abstract = {Understanding the mechanical behavior of lunar regolith simulants is crucial for progressing engineering analysis in surface infrastructure design and testbed evaluation. This study provides a detailed geotechnical characterization of the Colorado School of Mines Lunar Highlands Type-Testbed simulants, including a new highland-type lunar simulant integrated into the Mines Lunar Surface Simulator testbed. It includes the determination of key geotechnical properties such as particle size distribution, density, compressibility, cohesion, friction angle, and particle shape, using standardized ASTM testing procedures. Key findings show that while particle size distribution similarities exist among the simulants and actual lunar regolith, there are significant differences in density-dependent mechanical behaviors such as shear strength, compressibility, and deformation responses. These results emphasize the complexity of simulant fidelity and its impact on testbed experiments when simulating mid-Technology Readiness Level environments. Additionally, we emphasize the importance of density-specific testing for evaluating both geotechnical properties and simulant performance. This work presents the first comprehensive publication of the full geotechnical profile of Colorado School of Mines highland simulants and highlights the importance of using multiple parameters beyond just particle size distribution to evaluate simulant fidelity. Future research will concentrate on characterizing testbed variability and assessing properties across different density states to improve the application of lunar simulants in engineering analysis and testbed experimentation.}
    }
  6. Luchsinger, K. M., Chanover, N. J. and Strycker, P. D. (2020). Water Within a Permanently Shadowed Lunar Crater: Further LCROSS Modeling and Analysis . Icarus. Source
    BibTeX
    @article{luchsinger2020water,
      title = {Water Within a Permanently Shadowed Lunar Crater: Further LCROSS Modeling and Analysis},
      author = {Luchsinger, Kristen M. and Chanover, Nancy J. and Strycker, Paul D.},
      journal = {Icarus},
      volume = {354},
      pages = {114089},
      year = {2020},
      doi = {10.1016/j.icarus.2020.114089}
    }
  7. Mantovani, J., Langton, A., Kemmerer, B., Atkins, A. and Batcheldor, D. (2022). Regolith Simulant Preparation and Geotechnical Characterization for Plume Surface Interaction Testing . NASA, 20220013110. Source
    BibTeX
    @techreport{mantovani2022regolith,
      title = {Regolith Simulant Preparation and Geotechnical Characterization for Plume Surface Interaction Testing},
      author = {Mantovani, James and Langton, Austin and Kemmerer, Beverly and Atkins, Austin and Batcheldor, Daniel},
      number = {20220013110},
      institution = {NASA},
      year = {2022},
      url = {https://ntrs.nasa.gov/citations/20220013110},
      abstract = {Descent engine plumes interact with the lunar surface and accelerate regolith particles to potentially high velocities. These ejecta create risks to surface assets that have yet to be fully assessed. To better understand these risks, plume surface interactions can be simulated on the ground by firing a test engine plume into a bin of lunar regolith simulant under vacuum conditions. The dynamics of the resultant ejecta can then be recorded. In this technical memorandum we discuss the processes used in preparing a 150 kg bin of lunar regolith simulant for plume surface interaction ground tests under vacuum conditions for the NASA STMD Plume Surface Interaction project. We present our approach to mitigating regolith simulant eruptions during pump-down, the methods used to fill and reset the regolith simulant bin for each test, and the techniques used to characterize the consistency of regolith simulant geotechnical properties before each new firing. The challenges of preparing a regolith simulant test bin below an ambient pressure of one atmosphere, particularly on the large scale, could largely be overcome with a system that could fill the test bin with simulant inside the chamber and under vacuum conditions.}
    }
  8. Seibert, M. A., Dougherty, S. P., Dreyer, C. B., Thrift, B., Cohen, B. A. and Atkinson, J. (2020). Sample Acquisition, Morphology Filtering, and Probing of Lunar Regolith (SAMPLR) Payload . Lunar and Planetary Science Conference, 2564. Source
    BibTeX
    @inproceedings{seibert2020sample,
      title = {Sample Acquisition, Morphology Filtering, and Probing of Lunar Regolith (SAMPLR) Payload},
      author = {Seibert, M. A. and Dougherty, S. P. and Dreyer, Christopher B. and Thrift, B. and Cohen, Barbara A. and Atkinson, J.},
      booktitle = {Lunar and Planetary Science Conference},
      number = {2564},
      year = {2020},
      url = {https://www.hou.usra.edu/meetings/lpsc2020/pdf/2564.pdf}
    }
  9. Slabic, A., Gruener, J. E., Kovtun, R. N., Rickman, D. L., Sibille, L., Oravec, H. A., Edmunson, J. and Keprta, S. (2024). Lunar Regolith Simulant User's Guide, Revision A . NASA, NASA/TM-20240011783. Source
    BibTeX
    @techreport{slabic2024lunar,
      title = {Lunar Regolith Simulant User's Guide, Revision A},
      author = {Slabic, Ane and Gruener, John E. and Kovtun, Rostislav N. and Rickman, Douglas L. and Sibille, Laurent and Oravec, Heather A. and Edmunson, Jennifer and Keprta, Sean},
      number = {NASA/TM-20240011783},
      institution = {NASA},
      year = {2024},
      url = {https://ntrs.nasa.gov/citations/20240011783},
      abstract = {This guide is titled Lunar Regolith Simulant User's Guide, Rev A, and two points need to be made about the title. First, is the use of the term "regolith". During the Apollo Program, the term "soil" was used for taking a sample of the loose material on the surface, and then cataloging that sample in the lunar curation database as a "soil sample". By the 1980s, the term "regolith" gained favor by lunar scientists. In the Lunar Sourcebook (Heiken et al., 1991), regolith is defined as "a general term for the layer or mantle of fragmental and unconsolidated rock material, whether residual or transported and of highly varied character, that nearly everywhere forms the surface of the land and overlies or covers bedrock". Regolith is a terrestrial term that seems to go back to 1897, according to a recent paper by Huggett (2023). Huggett summed up his paper by writing, "soil and regolith are one in the same". "Regolith" will mostly be used throughout this guide, as it tends to separate in one's mind the unique nature of the Moon's surface when compared to the inherent bias humans have in their mind when they hear and use the word "soil". When referring to Apollo samples, "soil" is used for historical context and in some places the simple term "lunar simulant" is also used.
    
    Secondly, Rev A is used in the title because NASA released its first Lunar Regolith Simulant User's Guide in 2010, near the end of NASA's Constellation Program (Schrader et al., 2010). This guide follows in the pattern of that first guide and will be updated on a periodic basis as new simulants are created, characterized and used, and as new information emerges about the Moon's regolith due to new lunar exploration missions, both robotic and human.}
    }
  10. Sorice, C., Ali, K. S., Trebi-Ollennu, A., Mishra, P., Lim, G., Bailey, P., Hudson, T. L., Marteau, E. and Kim, J. (2021). InSight Robotic Arm Testing Activities for HP3 Mole Anomaly Recovery on Mars . LDEF Post-Retrieval Symposium. Source
    BibTeX
    @inproceedings{sorice2021insight,
      title = {InSight Robotic Arm Testing Activities for HP3 Mole Anomaly Recovery on Mars},
      author = {Sorice, Cristina and Ali, Khaled S. and Trebi-Ollennu, Ashitey and Mishra, Pranay and Lim, Grace and Bailey, Philip and Hudson, Troy Lee and Marteau, Eloise and Kim, Junggon},
      booktitle = {LDEF Post-Retrieval Symposium},
      pages = {1-19},
      publisher = {IEEE},
      year = {2021},
      doi = {10.1109/aero50100.2021.9438334}
    }
  11. Spohn, T., Hudson, T. L., Marteau, E., Golombek, M., Grott, M., Wippermann, T., Ali, K. S., Schmelzbach, C., Kedar, S., Hurst, K., Trebi-Ollennu, A., Krause, C. and Kroemer, O. (2022). The InSight HP3 Penetrator (Mole) on Mars: Soil Properties Derived From the Penetration Attempts and Related Activities . Space Science Reviews. Source
    BibTeX
    @article{spohn2022insightb,
      title = {The InSight HP3 Penetrator (Mole) on Mars: Soil Properties Derived From the Penetration Attempts and Related Activities},
      author = {Spohn, Tilman and Hudson, Troy L. and Marteau, Elodie and Golombek, Matthew and Grott, Matthias and Wippermann, Torben and Ali, Khaled S. and Schmelzbach, Cedric and Kedar, Sharon and Hurst, Kenneth and Trebi-Ollennu, Ashitey and Krause, Christian and Kroemer, Olaf},
      journal = {Space Science Reviews},
      volume = {218},
      pages = {72},
      year = {2022},
      doi = {10.1007/s11214-022-00941-z},
      abstract = {Abstract The NASA InSight Lander on Mars includes the Heat Flow and Physical Properties Package HP 3 to measure the surface heat flow of the planet. The package uses temperature sensors that would have been brought to the target depth of 3–5 m by a small penetrator, nicknamed the mole. The mole requiring friction on its hull to balance remaining recoil from its hammer mechanism did not penetrate to the targeted depth. Instead, by precessing about a point midway along its hull, it carved a 7 cm deep and 5–6 cm wide pit and reached a depth of initially 31 cm. The root cause of the failure – as was determined through an extensive, almost two years long campaign – was a lack of friction in an unexpectedly thick cohesive duricrust. During the campaign – described in detail in this paper – the mole penetrated further aided by friction applied using the scoop at the end of the robotic Instrument Deployment Arm and by direct support by the latter. The mole tip finally reached a depth of about 37 cm, bringing the mole back-end 1–2 cm below the surface. It reversed its downward motion twice during attempts to provide friction through pressure on the regolith instead of directly with the scoop to the mole hull. The penetration record of the mole was used to infer mechanical soil parameters such as the penetration resistance of the duricrust of 0.3–0.7 MPa and a penetration resistance of a deeper layer ( $>30~\text{cm}$ > 30 cm depth) of $4.9\pm0.4~\text{MPa}$ 4.9 ± 0.4 MPa . Using the mole’s thermal sensors, thermal conductivity and diffusivity were measured. Applying cone penetration theory, the resistance of the duricrust was used to estimate a cohesion of the latter of 2–15 kPa depending on the internal friction angle of the duricrust. Pushing the scoop with its blade into the surface and chopping off a piece of duricrust provided another estimate of the cohesion of 5.8 kPa. The hammerings of the mole were recorded by the seismometer SEIS and the signals were used to derive P-wave and S-wave velocities representative of the topmost tens of cm of the regolith. Together with the density provided by a thermal conductivity and diffusivity measurement using the mole’s thermal sensors, the elastic moduli were calculated from the seismic velocities. Using empirical correlations from terrestrial soil studies between the shear modulus and cohesion, the previous cohesion estimates were found to be consistent with the elastic moduli. The combined data were used to derive a model of the regolith that has an about 20 cm thick duricrust underneath a 1 cm thick unconsolidated layer of sand mixed with dust and above another 10 cm of unconsolidated sand. Underneath the latter, a layer more resistant to penetration and possibly containing debris from a small impact crater is inferred. The thermal conductivity increases from 14 mW/m K to 34 mW/m K through the 1 cm sand/dust layer, keeps the latter value in the duricrust and the sand layer underneath and then increases to 64 mW/m K in the sand/gravel layer below.}
    }
  12. (2026). NASA: Lunar Surface Instrument and Technology Payloads. nasa.gov/lunar-surface-instrument-and-technology-payloads
    BibTeX
    @misc{nasalunar,
      title = {NASA: Lunar Surface Instrument and Technology Payloads},
      organization = {nasa.gov},
      year = {2026},
      url = {https://www.nasa.gov/lunar-surface-instrument-and-technology-payloads/}
    }

Further reading

  • Bussey, D. B. J. and Martin, T. (2024). Intuitive Machines: Commercially Enabling International Lunar Scientific Exploration . Lunar and Planetary Science Conference. Source
  • Heiken, G. H., Vaniman, D. T. and French, B. M. (1991). Lunar Sourcebook: A User's Guide to the Moon . Endeavour. Source
  • National Academies of Sciences, E. M. C. O. T. P. S. &. A. D. S. (2022). Origins, Worlds, and Life: A Decadal Strategy for Planetary Science and Astrobiology 2023-2032 . The National Academies Press, Washington, DC. Source