Mohit Nitin Shenvi, Ph.D., Terramechanics, Multibody, and Vehicle Systems Laboratory, Virginia Tech: This talk focuses on the literature of snow characterization and on an analysis performed to identify the extent to which testing conditions affect the traction coefficient of tires using the ASTM 14-inch Standard Reference Test Tire (SRTT) on snow. Another area of focus will be the performance evaluation of an custom in-house device against the Clegg impact hammer and CTI penetrometer when employed in the field for measurements on a compacted snow test track at the Smithers Winter Test Center.
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Adriana Daca | Predicting planetary rover mobility in reduced gravity | January 31st, 2023
RECORDING | STUDENT RESEARCH SEMINAR — Traversing granular regolith, especially in reduced gravity environments, remains a potential challenge for wheeled rovers. Mitigating hazards for planetary exploration rovers requires testing in representative environments, but direct Earth-based testing fails to account for the effect of reduced gravity on the soil itself. The talk considers experimental approaches, and results from recent on-ground experiments evaluating the granular scaling laws in a cohesive lunar soil simulant are presented. Additionally, application of granular scaling laws to testing potential future lunar rovers under development by NASA's Jet Propulsion Laboratory is demonstrated. Finally, guidelines for conducting and interpreting 1-g mobility tests for lunar rovers are outlined.
Read MoreHarbin Institute of Technology | May 9th, 2022
VIEW RECORDING | In this ISTVS Student Research Seminar, we welcome five graduate student researchers connected to the organizing committee of this year’s 11th Asia-Pacific Regional Conference of the ISTVS to talk about their research. Topics include: granular dynamics, intelligent control of wheeled mobile robots, the design of metal flexible wheels for the pressurized lunar rover, terrain classification, terrain mechanical properties sensing, terramechanical mapping, navigation for planetary rovers, wheel soil interaction model, soil bin test, the coupling simulation of FEM and DEM, robot manipulation, including imitation learning, convex optimization, multi-objective optimization, combination of learning with control, the unified contact parameters definition to describe the multi-modal robot-terrain interaction, and motion uncertainty calculations for hybrid robot path planning.
Read MoreDavid Jelinek | Compilation and Analysis of Test Data to Characterize Wheel Performance in Fine-Grained Soils | Jan 19, 2022
David Jelinek, Undergraduate Researcher, Center for Advanced Vehicle Systems, Mississippi State University. This presentation will overview the expansion of the DROVE dataset (database records for off-road vehicle environments) with fine-grained soil wheel test data. Contributed data originates from field/laboratory tests characterizing the tractive performance of wheels operating in dry sands. The overview extends from measurement acquisition to the digitization process and current applications. Variables measured during each test include the soil’s cone index, vertical load, and the wheel’s dimensions, torque, drawbar pull, motion resistance, sinkage, and slip.
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