Data-Driven Terramechanics Approach Towards a Realistic Real-Time Simulator for Lunar Rovers

πŸ“… 2026-01-08
πŸ›οΈ arXiv.org
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πŸ€– AI Summary
Existing lunar rover simulators struggle to simultaneously achieve high visual fidelity and physically accurate terrain interaction, limiting comprehensive replication of lunar surface conditions. This work proposes a real-time simulation framework that integrates a data-driven terramechanics model with high-fidelity visualization. A regression model, trained on full-vehicle and single-wheel experimental and simulation data, accurately predicts wheel slip and sinkage under both steady-state and dynamic conditions. Furthermore, the method enhances terrain deformation and rut-rendering algorithms to produce interactions that are both physically plausible and visually realistic. Validated on both flat terrain and slopes up to 20Β°, the approach faithfully reproduces wheel–terrain coupling behaviors and has been empirically verified to meet the demands of real-time, high-fidelity lunar rover simulation.

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πŸ“ Abstract
High-fidelity simulators for the lunar surface provide a digital environment for extensive testing of rover operations and mission planning. However, current simulators focus on either visual realism or physical accuracy, which limits their capability to replicate lunar conditions comprehensively. This work addresses that gap by combining high visual fidelity with realistic terrain interaction for a realistic representation of rovers on the lunar surface. Because direct simulation of wheel-soil interactions is computationally expensive, a data-driven approach was adopted, using regression models for slip and sinkage from data collected in both full-rover and single-wheel experiments and simulations. The resulting regression-based terramechanics model accurately reproduced steady-state and dynamic slip, as well as sinkage behavior, on flat terrain and slopes up to 20 degrees, with validation against field test results. Additionally, improvements were made to enhance the realism of terrain deformation and wheel trace visualization. This method supports real-time applications that require physically plausible terrain response alongside high visual fidelity.
Problem

Research questions and friction points this paper is trying to address.

lunar rover simulation
visual fidelity
physical accuracy
terrain interaction
real-time simulator
Innovation

Methods, ideas, or system contributions that make the work stand out.

data-driven terramechanics
real-time lunar rover simulation
wheel-soil interaction
regression-based modeling
visual-physical fidelity
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