NASA GRC Simulated Lunar Operations Laboratory

NASA/GRC/ Bridget Caswell. Public domain (NASA / US government work).
The Simulated Lunar Operations laboratory at NASA GRC is NASA’s terramechanics facility, and the anchor of the center’s mTRAX Planetary Exploration group in the Engine Research Building: three simulant soil tanks including a hydraulically actuated tilt bed, a drawbar pull lane, a 777 m3 motion capture volume, and alongside them the TREC single-wheel dynamometer, the Excavation Lab, the XCEL and XTERra tire rigs and the VOiD vacuum dust chamber [1][8]. Its distinguishing asset is not the bins but the terrain preparation standard that goes with them, a published procedure that produces three repeatable GRC-1 conditions whose cone index gradients bracket the values measured on the Moon by Apollo 15 and 16 [2].
Laboratory data
Section titled “Laboratory data”| Parameter | Value |
|---|---|
| Operator | NASA GRC, mTRAX Planetary Exploration team |
| Location | Cleveland, Ohio, United States [1][8] |
| Commissioned | Not published; GRC-1 characterized 2010 |
| Type | Terramechanics, excavation and tire-environment laboratory |
| Floor area | Not published |
| Capabilities, terrain | GRC-1 lane, tilt bed, Sink Tank, DRAGON M |
| Capabilities, rigs | TREC, Excavation Lab, XCEL, XTERra, VOiD |
| Simulant or terrain | GRC-1, GRC-3, GRC-3B, Fillite, #90 silica sand, JSC-1A, pea gravel; tonnages not published [2][8] |
| Instrumentation | OptiTrack, 32 cameras, sub-mm; Rimik CP40II cone penetrometer |
| Ground truth | Cone penetrometer at 8 points per test; motion capture pose independent of odometry [1][2] |
| Fidelity limits | 1 g, Earth ambient; GRC-1 cohesionless against up to 1 kPa lunar cohesion [2] |
| Access | Open to industry, government and academia through the ERB facility manager; no lead time published |
| Cited by | VIPER [10], Scarab [3][4], Spirit [1] |
The laboratory is indoors and climate controlled, and the operators state that stable temperature and humidity are what limit variability in soil conditions between tests. Full scale vehicles, subsystems and components are all accepted, and the material in any tank can be removed and replaced with alternate granular media on request [8]. No open document gives a floor area, an article mass limit, or the tonnage held in any tank. Glenn provides its ground test facilities to industry, government and academia, with the Engine Research Building facility manager and the Test Facility Management Branch published as the route in; no fee schedule is published.
Capabilities
Section titled “Capabilities”GRC-1 lane
Section titled “GRC-1 lane”
NASA/GRC/Bridget Caswell. Public domain (NASA / US government work).
| Parameter | Value |
|---|---|
| Working volume | 12 x 3 x 0.3 m soil tank |
| Test article limits | Largest run is the 400 kg Scarab rover [3] |
| Illumination | Not published; no solar simulator |
| Simulant or terrain | GRC-1, 0.3 m bed, three conditions by cone index gradient [2][8] |
| Instrumentation | Smart-winch drawbar pull rig; OptiTrack, 32 cameras |
Vehicles traverse prepared simulant and obstacles in this tank, and a drawbar pull rig can be positioned at the end of the bed to apply a chosen resistive force through a smart winch, so tractive performance is measured as a function of drawbar pull force [8]. Published dimensions differ between NASA documents and are not reconciled in any of them: the motion capture characterization gives 11.8 x 2.9 x 0.6 m, 11.8 x 3.0 x 0.3 m and 6.7 x 4.7 x 0.2 m for the three tanks [1]; the drawbar pull procedure describes a 12 x 6 x 0.3 m bin split into two equal lanes [2]. The operator’s 2025 figures are used above.

Source: [1]. Public domain (NASA / US government work).
GRC-1 is the defining material choice. Lunar simulants such as MLS-1, JSC-1 and JSC-1A reproduce composition, but they exist only in small quantities and would need vacuum and reduced gravity to exhibit lunar mechanical strength, which is impractical at vehicle scale. GRC-1 was therefore developed at Glenn as a strength simulant for Earth ambient conditions: a cohesionless sub-angular sand, D10 0.094 mm, D60 0.390 mm, specific gravity 2.583, whose cone index gradient can be conditioned to match the values measured by the Apollo 15 and 16 cone penetrometers [2][3]. The underlying assumption is stated explicitly, that if a dry granular terrain matches the measured lunar cone penetration observations then it will respond similarly to vehicle loading in compaction and shear resistance. The operator adds that GRC-1 targets the softer, more conservative end of equatorial lunar terrain strength with respect to vehicle mobility [8].
Three standard conditions are defined by target cone index gradient G. T1: G = 5.0 +/- 0.3 kPa/mm, relative density about 41 percent, bulk density about 1.71 g/cm3, seven passes of a 4.5 kg 8 x 8 in tamper dropped from about 8 cm [8]. T2: G = 3.5 +/- 0.5 kPa/mm, about 23 percent relative density, about 1.66 g/cm3, one winch-pulled pass of a 24 x 18 in lawn roller filled with GRC-1 to 172.5 kg; T3: G = 2.5 +/- 0.5 kPa/mm, about 11 percent relative density, about 1.63 g/cm3, loosening and leveling only. The relationship between cone index gradient and relative density for air-dry GRC-1 was established over more than 180 cone penetration tests and is considered reliable to 80 percent relative density, giving G = 0.0834 D_R + 1.5811 [8]. That relation is what makes the terrain a controlled variable rather than a nuisance parameter.
Preparation is manual and procedural, in three stages. Loosening returns the soil to its original state, without which compaction accumulates and density drifts upward over a test series. The published method inserts a flat-blade shovel perpendicular to the surface to its full depth of about 25 cm, pulls the handle back to about 45 degrees to lift and break up the soil, returns the shovel upright and lifts it out, then repeats 12 to 13 cm behind the resulting valley with about 25 percent overlap, over an area at least twice as wide as the wheel track [8]. Leveling first rakes out major hills and valleys, then draws a leveling blade that is suspended from above or carried on rails at the bin sides, so the blade never rests on the soil and cannot compact it. Compaction is either the tamper, which gives fine control through drop height and pass count, or the winch-pulled roller, which is faster and more consistent but offers little density control, since cone index gradient does not increase appreciably after the first pass. Verification is by cone penetrometer at eight locations, four along each wheel track centerline, before every vehicle test, judged on the gradient over 0 to 18 cm and on the linearity of the penetration-resistance curve, with target linearity coefficients of 0 +/- 0.015 kPa/mm2 for T1 and 0 +/- 0.01 for T2 and T3 [8].
Tilt bed
Section titled “Tilt bed”
NASA/GRC/Bridget Caswell. Public domain (NASA / US government work).
| Parameter | Value |
|---|---|
| Working volume | 6 x 5 x 0.3 m tilting soil tank |
| Test article limits | The 400 kg Scarab rover has been run on it [3] |
| Simulant or terrain | GRC-1 as filled, changeable on request [8] |
| Slope | 0 to 45 degrees, hydraulic lift; usable maximum set by the angle of repose |
| Instrumentation | Inclinometer on the bed; photogrammetric best-fit plane through the surface [1][3] |
The tilt bed is the only slope capability in the laboratory, and it is set rather than measured: a hydraulic lift system takes the bed to 45 degrees of inclination, but the operator notes that in practice the maximum is limited by the angle of repose of the simulant in the bed rather than by the lift [8]. Slope angle was verified in earlier campaigns by an inclinometer on the side of the bed and, in later work, by fitting a plane through a photogrammetric point cloud of the actual soil surface [1][3]. Whether the bed can be moved under load is not published. Two cameras of the motion capture array sit at 4.9 m behind the tilt bed specifically so that the soil surface stays in view at maximum inclination [1].
Earlier documents describe the same bed as 7 x 5 x 0.3 m [2] and as approximately 6 x 4.5 m filled to 23 cm [3]; the operator’s 2025 figure is used above [8].
Sink Tank
Section titled “Sink Tank”| Parameter | Value |
|---|---|
| Working volume | 12 x 3 x 0.6 m, twice the depth of the other tanks |
| Simulant or terrain | Fillite, hollow alumino-silicate microspheres, 0.6 m bed |
| Instrumentation | OptiTrack, 32 cameras |
Source: [8].
The Sink Tank exists to produce the failure case rather than the nominal one. Fillite is a low-density hollow microsphere medium with extremely low bearing and shear strength, chosen to mimic the wind-blown dune soil found on Mars that has produced entrapped conditions for rovers, of the kind that immobilized Spirit in iron(III) sulfate deposits [1]. The operator is explicit that it is not a high-fidelity simulant: it reproduces a trafficability case, not a material.
DRAGON M
Section titled “DRAGON M”| Parameter | Value |
|---|---|
| Working volume | Dual-rail gantry over a soil bin, X 1850 mm, Y and Z 850 mm travel |
| Test article limits | Tooling rather than vehicles: auger, cone penetrometer, wheel-soil assembly |
| Simulant or terrain | GRC-3B |
| Instrumentation | Six-axis load cell, 1 kN Fy, 4 kN Fx and Fz, 250 Nm; string potentiometer |
Source: [6].
DRAGON M is the automated successor to the manual three-stage preparation procedure: a rigid steel frame bolted to the floor around a soil bin, carrying a dual-rail gantry with a vertical drive mast and a rotating tool carriage on five servo axes [6]. X runs to 5 m/s over 1850 mm at 0.02 mm resolution and 1366 N; Y and Z to 1 m/s over 850 mm at 0.02 mm and 6146 N; A rotates continuously to 600 rpm at 0.02 degrees and 109 Nm; B continuously to 57 rpm at 0.02 degrees and 48 Nm. Tools include a 101.6 mm auger, a 60 degree cone penetrometer of 500 mm2 base area, and a wheel-soil assembly on the six-axis load cell, with a string potentiometer on the Z carriage reading sinkage [6].
It both loosens and compacts the full depth of a bin and characterizes it in place, which is what a ground contact model calibration needs: drag data and cone penetrometer measurements from a single preparation [6]. Loosening trials drove 96 auger holes distributed evenly across the bin with a 101.6 mm diameter, 67.73 mm pitch, 609.6 mm bladed auger at 400 degrees/s insertion and -360 degrees/s withdrawal at a 68 mm/s feed rate, followed by manual leveling with a wooden drag. Cone penetration at nine locations showed high consistency in tip resistance between 0 and 100 mm, increasing variability beyond 100 mm attributed to the limit of auger penetration or to re-consolidation at depth, and no measurable edge effects between central and peripheral locations [6]. DRAGON M does not appear on the operator’s current capability page and its present status is unconfirmed [8].
| Parameter | Value |
|---|---|
| Working volume | Two adjacent soil tanks, each 3 x 2 x 0.75 m |
| Test article limits | Tires to 95 cm diameter; vertical load about 90 to 900 N |
| Simulant or terrain | GRC-3 in one tank, commercial #90 silica sand in the other |
| Gravity offload | Vertical tire load adjustable below vehicle weight, including offloading |
| Instrumentation | In-hub six-axis load cell, 900 N and 230 Nm; laser displacement sensor |
Source: [8].
The TRaction and Excavation Capabilities rig is the laboratory’s single-wheel dynamometer. Carriage and tire are driven independently so that forced slip from 0 to 90 percent can be commanded, at linear speeds to 6 cm/s, and the in-hub load cell captures drive force and ground force together so a net traction versus slip curve comes out of a single run; a laser displacement sensor records tire sinkage against time [8]. GRC-3 is a custom silty-sand lunar simulant of semi-angular silica particles with Bonnie silt added for strength, aimed at in-situ resource utilization work such as excavation; #90 is a poorly graded silica sand representing aeolian Martian terrain. A semi-automated rake and screed method prepares both to repeatable conditions, and as in SLOPE the simulant can be swapped on request. Static and dynamic net traction over bedrock can also be measured on the rig.
Excavation Lab
Section titled “Excavation Lab”| Parameter | Value |
|---|---|
| Working volume | GRC-3B bin 76.2 x 183 x 76 cm; pea gravel bin 61 x 91 x 51 cm |
| Test article limits | Excavation tools on the arm end; 900 lbf (4005 N) vertical as installed |
| Temperature | Lab ambient, air conditioned |
| Simulant or terrain | GRC-3B, silica sand and silt matched to lunar particle size distribution |
| Instrumentation | 156.5 mm six-axis load cell, 1300 N Fx and Fy, 3900 N Fz, 203 Nm |
Source: [8].
The Advanced Planetary Excavator is a four degree of freedom backhoe-like arm with sealed rotary joints, 360 degrees of rotation about a vertical axis, over 2 m of reach and a 3 m maximum swing radius with bucket and load cell fitted [8]. It runs on electric linear actuators fed from facility 208 VAC three-phase power converted to 325 VDC at 100 A; joint speeds are 4.67 cm/s at the shoulder, 9.37 cm/s at the elbow and 11.71 cm/s at the wrist. Mechanical maximum vertical force is 1165 lbf (5184 N), controlled as installed to 900 lbf (4005 N) vertical and 400 lbf (1780 N) horizontal [8]. Load cell full-scale uncertainty is 1.25 percent in Fx, Fy, Tx and Ty and 2.00 percent in Fz and Tz.
Tools can be lowered to a chosen digging depth and driven at controlled rates along pre-programmed paths, under joystick control or planned trajectory for repeatability, and are either tethered to wall AC power or powered from the arm at a nominal 300 VDC [8]. The bin sits on an 81 x 188 x 36 cm shaker table of 22.24 kN capacity used to compact the simulant, the dump bin stands on a 61 x 61 cm platform scale reading to 2224 N in 0.22 N steps to weigh each delivered load, and a HEPA-filtered dust enclosure surrounds the arm and bins to protect operators from the respiratory hazard [8].
| Parameter | Value |
|---|---|
| Working volume | Environmental chamber 139 cm tall x 101 cm deep x 50 cm wide |
| Test article limits | Full-scale wheel or tire; maximum size set by fixture and stroke |
| Temperature | 133 K to 370 K, liquid nitrogen or liquid carbon dioxide cooling |
| Instrumentation | Hydraulic load frame, nominal cyclic rate 1 Hz |
Source: [8].
The Extreme Cyclic Environmental Load rig is a hydraulic load frame coupled to an environmental chamber sized to enclose a full-scale wheel, used for cyclic radial compression tests against a flat plate at planetary temperatures. The 133 K figure is the lowest tested to date rather than a floor [8].
XTERra
Section titled “XTERra”| Parameter | Value |
|---|---|
| Test article limits | Tires to 95 cm diameter; vertical force to 1000 N, 2500 N peak |
| Temperature | Heated to 60 C; cooling possible, minimum temperature unknown |
| Simulant or terrain | Customizable regolith and rock terrain elements on a carousel |
| Instrumentation | Six-axis load cell at the tire; thermocouples; front and side cameras |
Source: [8].
The Extreme Terrain Endurance Rig is a single-wheel life test rig. Carousel and tire are driven independently for forced slip from 0 to 100 percent, at linear speeds on the order of 100 cm/s depending on tire load, with continuous torque to 300 Nm and 500 Nm instantaneous [8]. Vertical tire motion is recorded through an inclinometer on the mounting arm [8]. It is where durability rather than traction is measured, over representative terrain elements including rocks rather than a prepared flat bed.
| Parameter | Value |
|---|---|
| Working volume | 89 x 89 x 82.5 cm (35 x 35 x 32.5 in) internal |
| Test article limits | Sub-meter-cubed experiments; 4 ceiling mounts at 50 lb each |
| Vacuum | 1e-6 torr, with filters and a throttle valve for pumpdown with simulant in |
| Temperature | -180 to +150 C, LN2-cooled shroud with internal heaters |
| Simulant or terrain | Regolith simulant in the chamber; product not specified |
Source: [8].
The Vacuum Operations in Dust Environment chamber is the one rig in the group that supplies vacuum, and it is designed around the awkward part of that, pumping down with loose simulant present: a series of filters and a throttle valve allow a safe pumpdown with regolith in the chamber, and a thermal shroud cooled by liquid nitrogen dewars and heated by internal heaters sets the wall temperature. It is aimed at raising the technology readiness level of payloads past component-level testing. Customer feedthroughs run through fourteen DN-40 KF/QF ports, two DN-63 LF and five DN-250 LF; the DN-250 ports and two of the DN-40 ports are line of sight to the chamber center. The operator’s page states the rig was being built and was slated to be operational in summer 2024 [8].
Instrumentation
Section titled “Instrumentation”The motion capture array has grown since it was characterized. The 2022 report describes 16 Primex41 cameras on the laboratory walls: 14 at 4.3 m to clear the perimeter walkways and two at 4.9 m behind the tilt bed, so that the soil surface stays in view at maximum inclination [1]. Orientations were set at installation to maximize soil bin area in each field of view, with neighboring fields overlapping for redundancy, and four or more further cameras can be placed on tripods. The system tracks up to 300 rigid bodies in real time at a quoted plus or minus 0.1 mm and 0.5 degrees [1]. The operator’s capability page dated 31 March 2025 gives 32 cameras, 20 permanently wall-mounted and 12 on tripods, providing a full 360 degree field of view at sub-millimeter accuracy [8].
The accuracy figures were measured on the 16 camera configuration and bound the current array rather than describing it [1].

Source: [1]. Public domain (NASA / US government work).
The array was validated rather than assumed. An eight-LED OptiTrack active puck was mounted on a Thorlabs LTS300 300 mm precision linear stage under MATLAB control, elevated on aluminum extrusion and two heavy tripods to keep it out of the simulant, and stepped across its travel in 10 mm increments with about 600 OptiTrack samples taken at 100 Hz at each setpoint [1]. The bins were divided into 12 cells, the stage placed at three random locations in each, and the resulting error compared against the wand error Motive reports after calibration. Mean reported wand error was 0.17 mm against an independently calculated -0.06 +/- 0.65 mm over 2,249,327 measurements across the capture volume [1].
Bed state is measured rather than assumed. The laboratory standard is a Rimik CP40II cone penetrometer with a 30 degree apex and a 20.3 mm base diameter cone of 323 mm2 base area on a reduced-diameter shaft, pushed manually at a target 3 cm/s, recording average cone index over 10 mm depth increments to 18 cm [2].
Before the motion capture installation, vehicle tracking used stereo photogrammetry: coded two-dimensional targets on the wheels, a fixed camera pair triggering every 2 s, and GOM Pontos to recover three-dimensional target coordinates [3]. Terrain surface was recovered by projecting a speckled dot pattern onto the bed and processing the stereo pair in GOM Aramis, averaging each point over a 19 x 19 pixel square with centers 15 pixels apart, or 22.5 to 30 mm on the terrain, into a point cloud used as the sinkage datum. Camera resolution was 4272 x 2848 pixels for a spatial resolution of 1.5 to 2 mm, with calibration deviation between computed and actual coordinates averaging 0.196 pixels, roughly 0.29 to 0.39 mm [3]. For wheel-soil flow visualization the laboratory keeps a small bin with a clear glass wall against which a tire can be positioned and the soil displacement imaged through the sidewall [4][5]. The Shear Interface Imaging Analysis Tool, developed on this glass-walled bin, runs a half-width wheel at half payload against the glass at 8 frames per second and recovers soil flow magnitude, flow direction and the shear interface beneath the wheel by optical flow. It found the shear interface is set mainly by rim tangential stress rather than by drawbar load, since its extent barely changes from 5 to 20 percent slip while drawbar pull quadruples over that range, and that a walking or pushed wheel fails the soil in general shear rather than the forced rotational failure of a rolling wheel [9].
What it does not reproduce
Section titled “What it does not reproduce”Gravity. The laboratory operates at 1 g and has no offload rig; only TREC can relieve part of the wheel load, and it does so at the wheel rather than at the vehicle [8]. The historical workaround, still the one in use, is to build test vehicles light enough that wheel loads match what would be expected at one sixth Earth gravity, as was done for the Surveyor Lunar Roving Vehicle 6x6 and 4x4 test vehicles and for the Mobility Test Article GM-1 at one fifth of the Lunar Mobile Laboratory mass [2]. That reproduces the load but not the gravitational body force in the soil column.
Vacuum, and therefore composition-driven soil behavior, in the mobility bins. GRC-1 exists because controlling the atmospheric conditions needed for a compositional simulant to show lunar mechanical strength is impractical at this scale [2]. The trade is explicit: SLOPE reproduces terrain strength and gives up composition, particle shape beyond sub-angular, electrostatic behavior and cohesion. GRC-1 is cohesionless, against the up to 1 kPa of cohesion observed in lunar regolith [2]. VOiD supplies vacuum and dust, but in a sub-meter-cubed volume, so no vehicle-scale test is run under vacuum here [8].
The strongest lunar terrain. Over its full density range in Earth ambient conditions, GRC-1 covers four of the five lunar cone index gradient values in the National Space Science Data Center set. The one that cannot be reproduced is a high terrain strength, which the operators note does not pose a mobility challenge [2]. The facility is therefore biased conservative: it can be harder than the Moon but not easier.
Bed repeatability at scale. Because of the size of the bins the soil has to be processed in place. Removing and replacing it systematically for each test, which is the best way to guarantee a homogeneous bed, was judged unrealistic without an automated mechanical system, so the manual three-stage procedure exists as the alternative [2]. DRAGON M is the response to that limitation and its consistency falls off below 100 mm depth [6].
Motion capture accuracy is not uniform. These figures describe the 16 camera array as characterized in 2022, not the 32 camera array the operator lists in 2025 [1][8]. Mean error across the 777 m3 capture volume is submillimeter and matches the reported wand error, but measured error in some cells exceeds that mean, attributed to camera occlusion by the TREC test rig and the stairwell. The recommendation in the characterization report is that additional cameras be placed to raise accuracy in those regions [1]. Even-numbered cells, over the GRC-1 lane, more often showed greater absolute localized error than odd-numbered cells, and cell 10, on the tilt bed, showed the effect on every day of testing [1].
Slope surface is not flat. Even after hand raking, terrain height varies across the tilt bed enough that wheel position alone does not give true sinkage; the relative distance between wheel center and terrain has to be measured, which is why the photogrammetric terrain point cloud exists [3].
Test throughput. The angle of attack campaign notes that test preparation and post-processing are time-intensive enough that repeat tests were not conducted unless there was a known error [3]. Single-sample results are the norm rather than the exception.
Campaigns run there
Section titled “Campaigns run there”Drawbar pull method development, published 2017. The standing drawbar pull procedure for off-road planetary vehicles was written at SLOPE, covering terrain preparation, the three GRC-1 conditions, hitch geometry and the metrics [2]. Findings that constrain the method: cone index gradient corresponds to bulk density for dry granular soils and can be mapped to other mechanical properties, and because the cone penetrometer flew on Apollo, lunar G values can be used directly to set up lunarlike conditions on Earth. The report also establishes that hitch height matters, with a worked case for a drawbar pull coefficient of 0.2 at a hitch height of 29 percent of the wheelbase [2].
Push-pull locomotion, 2014 to 2015. An inching gait, in which the vehicle alternately extends and retracts between wheel sets rather than rolling continuously, was tested in a soil bin of approximately 8 x 3 x 0.3 m of GRC-1 against a controlled drawbar pull load [4]. Inching generated about 37 percent of vehicle weight in drawbar pull with pneumatic tires against 27 percent when rolling, and about 33 percent against 25 percent with rigid tires [4]. An earlier account of the same work reports a pull coefficient rising to 0.28 when rolling with a maximum inching force about 30 to 40 percent higher [5]. Rolling resistance was measured separately by towing a chassis on free-running wheels and found to be about 5 percent of vehicle weight [4]. The mechanism, a more efficient soil shearing method, was identified through the glass-walled single-wheel bin [4][5].
Angle of attack on slopes, published 2018. The 400 kg Scarab rover on 71 cm rigid wheels was driven on the tilt bed at 16 combinations of four slope angles and four angles of attack, in GRC-1 prepared to the loose T3-like condition of G = 2.5 +/- 0.5 kPa/mm, relative density 11 percent, bulk density 1.63 g/cm3, friction angle 31.5 degrees and essentially zero cohesion [3]. Each run was a constant 0.13 rad/s wheel speed for 30 s, tracked photogrammetrically against a projected-pattern terrain point cloud. The trajectory always trended downslope of the intended path except at 90 degrees angle of attack; at 10 degrees angle of attack the vehicle made no uphill progress on slopes above 9 degrees, and on the 15 degree slope it made no progress at either 10 or 30 degrees [3]. Sinkage increased with angle of attack, rear wheel sinkage running consistently greater than front and reaching 8 cm, and wheel slip increased with both slope angle and angle of attack, front and rear differing by under 0.5 percent [3].
Motion capture characterization, 2022. Four data sessions validated the OptiTrack installation across the 12 cells at tilt bed inclinations of 0, 10 and 20 degrees [1]. Error magnitude showed no positive correlation with tilt bed angle. The conclusion validates the system for characterizing mobility and tractive performance, with the localized-occlusion caveat above [1].
Scale model vehicle dynamics, published 2017. A modular six or eight wheel-pod vehicle was built to evaluate whether scale models can simulate lunar vehicle dynamics [7]. Wheel pods came in at 0.73 kg each, 28 percent over the 0.57 kg mass target. Turning off one pair of tires reduced distance traveled by 22 percent in one configuration and 53 percent in another, and the eight-pod configuration performed worse than the six-pod configuration [7].
Ground contact model calibration, 2025. Terramechanics, discrete element and finite-element ground contact modeling approaches are being calibrated against SLOPE single-wheel data, with GRC-1 parameter sets drawn from the literature described as a first pass toward consistency between sources [6]. DRAGON M was built to supply the consistently prepared soil volumes that this calibration needs, capturing drag test data and cone penetrometer measurements from a single preparation [6].
VIPER ground truth, published 2025 [10]. VIPER carries a torque transducer in each of its four actuated suspension joints and a quadrature encoder pattern machined into the inboard wheel rim that its wheel-well cameras can read, so it measures wheel normal force and sinkage directly rather than inferring them, a combination no prior planetary rover flew. Those measurements were designed to be inverted through Bekker and classical bearing capacity relations for cohesion, internal friction angle, bearing strength and modulus of subgrade reaction at the lunar south pole, a region so far constrained only by Apollo equatorial data and Yutu-2. The published slope versus mean wheel slip curves come from the MGRU mobility surrogate driven uphill and downhill in loose GRC-1 simulant at 15 to 20 percent relative density on the tilt bed, the terrestrial proxy for the ten 10 m rail segments across 0 to 15 degrees of slope the mission itself planned to drive [10].
References
- Schepelmann, A. and Gerdts, S. (2022). Characterization of Infrared Optical Motion Tracking System in NASA's Simulated Lunar Operations (SLOPE) Laboratory
. NASA, NASA/TM-20220005304. Source
BibTeX
@techreport{schepelmann2022characterization, title = {Characterization of Infrared Optical Motion Tracking System in NASA's Simulated Lunar Operations (SLOPE) Laboratory}, author = {Schepelmann, Alexander and Gerdts, Stephen}, number = {NASA/TM-20220005304}, institution = {NASA}, year = {2022}, url = {https://ntrs.nasa.gov/citations/20220005304}, abstract = {This work characterizes the accuracy of a 16 camera OptiTrack motion tracking system installed in NASA Glenn Research Center's Simulated Lunar Operations (SLOPE) laboratory. The position of a rigid body mounted on a motorized linear stage is compared to its position reported by the motion tracking system as it travels through the facility's 777m$^3$ capture volume of interest. Experiments show that the mean error reported by the motion tracking system for the aggregate capture volume is in-line with independent measurements collected using the motion stage. Error within regions of the capture volume exceed the mean error reported by the motion tracking system, likely due to occlusion, and suggests that additional cameras should be used to increase measurement accuracy in these regions. Overall, results show that error values reported by the motion tracking system are representative of the measurement error in a collected data set and validates the system's use for characterizing the mobility and tractive performance of robots, rovers, and other vehicles for planetary exploration.} } - Creager, C., Asnani, V., Oravec, H. and Woodward, A. (2017). Drawbar Pull (DP) Procedures for Off-Road Vehicle Testing
. NASA Glenn Research Center, NASA/TP-2017-219384. Source
BibTeX
@techreport{creager2017drawbar, title = {Drawbar Pull (DP) Procedures for Off-Road Vehicle Testing}, author = {Creager, Colin and Asnani, Vivake and Oravec, Heather and Woodward, Adam}, number = {NASA/TP-2017-219384}, institution = {NASA Glenn Research Center}, year = {2017}, url = {https://ntrs.nasa.gov/citations/20170010706}, abstract = {As NASA strives to explore the surface of the Moon and Mars, there is a continued need for improved tire and vehicle development. When tires or vehicles are being designed for off-road conditions where significant thrust generation is required, such as climbing out of craters on the Moon, it is important to use a standard test method for evaluating their tractive performance. The drawbar pull (DP) test is a way of measuring the net thrust generated by tires or a vehicle with respect to performance metrics such as travel reduction, sinkage, or power efficiency. DP testing may be done using a single tire on a traction rig, or with a set of tires on a vehicle; this report focuses on vehicle DP tests. Though vehicle DP tests have been used for decades, there are no standard procedures that apply to exploration vehicles. This report summarizes previous methods employed, shows the sensitivity of certain test parameters, and provides a body of knowledge for developing standard testing procedures. The focus of this work is on lunar applications, but these test methods can be applied to terrestrial and planetary conditions as well. Section 1.0 of this report discusses the utility of DP testing for off-road vehicle evaluation and the metrics used. Section 2.0 focuses on test-terrain preparation, using the example case of lunar terrain. There is a review of lunar terrain analogs implemented in the past and a discussion on the lunar terrain conditions created at the NASA Glenn Research Center, including methods of evaluating the terrain strength variation and consistency from test to test. Section 3.0 provides details of the vehicle test procedures. These consist of a review of past methods, a comprehensive study on the sensitivity of test parameters, and a summary of the procedures used for DP testing at Glenn.} } - Creager, C. M., Jones, L. and Smith, L. M. (2017). Effect of Angle of Attack on Slope Climbing Performance
. Earth and Space, NASA/TM-2017-219549. Source
BibTeX
@inproceedings{creager2017effect, title = {Effect of Angle of Attack on Slope Climbing Performance}, author = {Creager, Colin M. and Jones, Lucas and Smith, Lauren M.}, booktitle = {Earth and Space}, number = {NASA/TM-2017-219549}, pages = {402-413}, institution = {NASA Glenn Research Center}, year = {2017}, doi = {10.1061/9780784479971.039}, abstract = {Ascending steep slopes is often a very difficult challenge for off-road vehicles, whether on Earth or on extraterrestrial bodies. This challenge is even greater if the surface consists of loose granular soil that does not provide much shear strength. This study investigated how the path at which a vehicle traverses a slope, specifically the angle that it is commanded to drive relative to the base of the hill (the angle of attack), can affect its performance. A vehicle was driven in loose sand at slope angles up to 15 degrees and angles of attack ranging from 10 to 90 degrees. A novel photogrammetry technique was implemented to both track vehicle motion and create a three dimensional profile of the terrain. This allowed for true wheel sinkage measurements. The study showed that though low angles of attack result in lower wheel slip and sinkage, the efficiency of the vehicle’s uphill motion increased at higher angles of attack. For slopes up to 15 degrees, a 90 degree angle of attack provided the greatest likelihood of successful ascent.} } - Creager, C. M., Johnson, K. A., Plant, M., Moreland, S. J. and Skonieczny, K. (2014). Push-Pull Locomotion for Vehicle Extrication
. Journal of Terramechanics, NASA/TM-2014-218431. Source
BibTeX
@article{creager2014push, title = {Push-Pull Locomotion for Vehicle Extrication}, author = {Creager, Colin M. and Johnson, Kyle A. and Plant, Mark and Moreland, Scott J. and Skonieczny, Krzysztof}, journal = {Journal of Terramechanics}, volume = {57}, number = {NASA/TM-2014-218431}, pages = {71-80}, institution = {NASA}, year = {2014}, doi = {10.1016/j.jterra.2014.12.001}, abstract = {For applications in which unmanned vehicles must traverse unfamiliar terrain, there often exists the risk of vehicle entrapment. Typically, this risk can be reduced by using feedback from on-board sensors that assess the terrain. This work addressed the situations where a vehicle has already become immobilized or the desired route cannot be traversed using conventional rolling. Specifically, the focus was on using push-pull locomotion in high sinkage granular material. Push-pull locomotion is an alternative mode of travel that generates thrust through articulated motion, using vehicle components as anchors to push or pull against. It has been revealed through previous research that push-pull locomotion has the capacity for generating higher net traction forces than rolling, and a unique optical flow technique indicated that this is the result of a more efficient soil shearing method. It has now been found that pushpull locomotion results in less sinkage, lower travel reduction, and better power efficiency in high sinkage material as compared to rolling. Even when starting from an "entrapped" condition, push-pull locomotion was able to extricate the test vehicle. It is the authors' recommendation that push-pull locomotion be considered as a reliable back-up mode of travel for applications where terrain entrapment is a possibility.} } - Creager, C., Moreland, S., Skonieczny, K., Johnson, K., Asnani, V. and Gilligan, R. (2012). Benefit of Push-pull Locomotion for Planetary Rover Mobility
. Earth and Space. Source
BibTeX
@inproceedings{creager2012benefit, title = {Benefit of Push-pull Locomotion for Planetary Rover Mobility}, author = {Creager, Colin and Moreland, Scott and Skonieczny, Krzysztof and Johnson, Kyle and Asnani, Vivake and Gilligan, Ryan}, booktitle = {Earth and Space}, pages = {11-20}, publisher = {American Society of Civil Engineers}, year = {2012}, doi = {10.1061/9780784412190.002}, abstract = {As NASA's exploration missions on planetary terrains become more aggressive, a focus on alternative modes of locomotion for rovers is necessary. In addition to climbing steep slopes, the terrain in these extreme environments is often unknown and can be extremely hard to traverse, increasing the likelihood of a vehicle or robot becoming damaged or immobilized. The conventional driving mode in which all wheels are either driven or free-rolling is very efficient on flat hard ground, but does not always provide enough traction to propel the vehicle through soft or steep terrain. This paper presents an alternative mode of travel and investigates the fundamental differences between these locomotion modes. The methods of "push-pull" locomotion discussed can be used with articulated wheeled vehicles and are identified as "walking" or "inching/inch-worming". In both cases, the braked non-rolling wheels provide increased thrust. An in-depth study of how soil reacts under a rolling wheel vs. a braked wheel was performed by visually observing the motion of particles beneath the surface. This novel technique consists of driving or dragging a wheel in a soil bin against a transparent wall while high resolution, high-rate photographs are taken. Optical flow software was then used to determine shearing patterns in the soil. Different failure modes were observed for the rolling and braked wheel cases. A quantitative comparison of inching vs. conventional driving was also performed on a full-scale vehicle through a series of drawbar pull tests in the Lunar terrain strength simulant, GRC-1. The effect of tire stiffness was also compared; typically compliant tires provide better traction when driving in soft soil, however it's been observed that rigid wheels may provide better thrust when non-rolling. Initial tests indicate up to a possible 40% increase in pull force capability at high slip when inching vs. rolling.} } - Schepelmann, A., Creager, C. M., Proctor, M. P., Johnson, K. A., Breckenridge, J. R., Elmland, A., Naghipour Ghezeljeh, P. and Oravec, H. A. (2025). An Overview of Tire-Ground Contact Modeling Approaches for Surface Mobility Applications
. NASA Glenn Research Center, NASA/TM-20250006958. Source
BibTeX
@techreport{schepelmann2025overview, title = {An Overview of Tire-Ground Contact Modeling Approaches for Surface Mobility Applications}, author = {Schepelmann, Alexander and Creager, Colin M. and Proctor, Margaret P. and Johnson, Kyle A. and Breckenridge, John R. and Elmland, Asher and Naghipour Ghezeljeh, Paria and Oravec, Heather A.}, number = {NASA/TM-20250006958}, institution = {NASA Glenn Research Center}, year = {2025}, url = {https://ntrs.nasa.gov/citations/20250006958}, abstract = {Wheels and tires serve as the critical interface between vehicles and the ground, enabling traction, force transmission, and ultimately mobility. As planetary exploration systems adopt increasingly complex wheel and tire designs, look to explore increasingly extreme terrains, and adopt increasingly aggressive performance requirements, physics-based modeling has become essential for both designing these mechanisms and predicting performance under conditions that are difficult or impractical to replicate experimentally, such as reduced gravity. This paper provides a high-level overview of commonly used modeling approaches for simulating tireground interaction, including those currently employed or under development at NASA Glenn Research Center, NASA Johnson Space Center, and the Jet Propulsion Laboratory. The paper first categorizes modeling techniques based on their fidelity and underlying assumptions. It then discusses the applications, benefits, and limitations of each approach, highlighting current knowledge gaps and modeling challenges. Finally, the paper outlines ongoing and future work aimed at addressing these limitations, including initial results from automated soil preparation experiments that support the generation of consistent physical test data and the development of terramechanics simulations for evaluating and comparing model fidelity.} } - Johnson, K., Asnani, V., Polack, J. and Plant, M. (2017). Experimental Evaluation of the Scale Model Method to Simulate Lunar Vehicle Dynamics
. International Society for Terrain-Vehicle Systems (ISTV) Americas Regional Conference, 20170000950. Source
BibTeX
@inproceedings{johnson2017experimental, title = {Experimental Evaluation of the Scale Model Method to Simulate Lunar Vehicle Dynamics}, author = {Johnson, Kyle and Asnani, Vivake and Polack, Jeff and Plant, Mark}, booktitle = {International Society for Terrain-Vehicle Systems (ISTV) Americas Regional Conference}, number = {20170000950}, institution = {NASA}, address = {Detroit, Michigan}, year = {2017}, url = {https://ntrs.nasa.gov/citations/20170000950}, abstract = {As compared to driving on Earth, the presence of lower gravity and uneven terrain on planetary bodies makes high speed driving difficult. In order to maintain ground contact and control vehicles need to be designed with special attention to dynamic response. The challenge of maintaining control on the Moon was evident during high speed operations of the Lunar Roving Vehicle (LRV) on Apollo 16, as at one point all four tires were off the ground; this event has been referred to as the Lunar Grand Prix. Ultimately, computer simulation should be used to examine these phenomena during the vehicle design process; however, experimental techniques are required for the validation and elucidation of key issues. The objectives of this study were to evaluate the methodology for developing a scale model of a lunar vehicle using similitude relationships and to test how vehicle configuration, six or eight wheel pods, and local tire compliance, soft or stiff, affect the vehicles dynamic performance. A wheel pod consists of a drive and steering transmission and wheel. The Lunar Electric Rover (LER), a human driven vehicle with a pressurized cabin, was selected as an example for which a scale model was built. The scaled vehicle was driven over an obstacle and the dynamic response was observed and then scaled to represent the full-size vehicle in lunar gravity. Loss of ground contact, in terms of vehicle travel distance with tires off the ground, was examined. As expected, local tire compliance allowed ground contact to be maintained over a greater distance. However, switching from a six-tire configuration to an eight-tire configuration with reduced suspension stiffness had a negative effect on ground contact. It is hypothesized that this was due to the increased number or frequency of impacts. The development and testing of this scale model provided practical lessons for future low-gravity vehicle development. } } - NASA Glenn Research Center. (2025). Planetary Exploration Test Facilities. nasa.gov/centers-and-facilities/glenn/planetary-exploration-test-faci...
BibTeX
@misc{grc2025planetary, title = {Planetary Exploration Test Facilities}, author = {{NASA Glenn Research Center}}, organization = {nasa.gov}, year = {2025}, url = {https://www.nasa.gov/centers-and-facilities/glenn/planetary-exploration-test-facilities/} } - Moreland, S., Skonieczny, K., Wettergreen, D., Creager, C. and Asnani, V. (2011). Soil Motion Analysis System for Examining Wheel-Soil Shearing
. International. Conference of the International. Society for Terrain-Vehicle Systems. Source
BibTeX
@inproceedings{moreland2011soil, title = {Soil Motion Analysis System for Examining Wheel-Soil Shearing}, author = {Moreland, Scott and Skonieczny, Krzysztof and Wettergreen, David and Creager, Colin and Asnani, Vivake}, booktitle = {International. Conference of the International. Society for Terrain-Vehicle Systems}, address = {Blacksburg, Virginia}, year = {2011}, doi = {10.1184/r1/6560918.v1} } - Rezich, E., Bickel, V. T., Francis, P. L., Rogg, A., Tardy, A., Creager, C., Oravec, H. A., Schepelmann, A., Ennico-Smith, K., Deutsch, A. and Hirabayashi, M. (2025). Investigating the Geotechnical Properties of the Lunar South Pole with NASA VIPER's Mobility System
. The Planetary Science Journal, 7. Source
BibTeX
@article{rezich2025investigating, title = {Investigating the Geotechnical Properties of the Lunar South Pole with NASA VIPER's Mobility System}, author = {Rezich, Erin and Bickel, Valentin T. and Francis, Parker L. and Rogg, Arno and Tardy, Antoine and Creager, Colin and Oravec, Heather A. and Schepelmann, Alexander and Ennico-Smith, Kimberly and Deutsch, Ariel and Hirabayashi, Masatoshi}, journal = {The Planetary Science Journal}, volume = {6}, number = {7}, pages = {169}, year = {2025}, doi = {10.3847/psj/add13f}, abstract = {Abstract The NASA Volatiles Investigating Polar Exploration Rover (VIPER) is capable of assessing the geotechnical properties of the lunar south pole’s terrain, specifically as they pertain to terramechanics or the wheel–terrain interaction, combining the rover’s mobility system and science payloads. This paper focuses on one key aspect of VIPER’s mission: the quantitative evaluation of geotechnical parameters via tractive performance by analyzing wheel and wheel–regolith interaction dynamics. As VIPER navigates the largely uncharted terrain of the Moon’s south pole, sophisticated onboard instrumentation will monitor and record detailed interactions between the rover’s wheels, chassis, and the lunar surface. These measurements will capture critical data such as wheel slip and sinkage, offering insights into the mechanical behavior of the soil under actual lunar conditions. The findings from VIPER are expected to provide a foundational understanding of the lunar south pole’s regolith mechanics, directly informing the design and navigation strategies of future lunar missions, including the deployment of more advanced rovers and crewed vehicles. By integrating lunar surface observations with the rover’s kinematic model and understood terrestrial mobility performance, the study aims to enhance predictive accuracy regarding rover tractive performance over sloped, level, and potentially volatile-rich terrain. Ground truth geotechnical assessments and proceeding mobility characterization work will serve as a cornerstone for verifying and improving both terrestrial test approaches and simulation models that underpin mission planning and risk management for subsequent explorations.} }