DART-S: Reachability-Audited Active-Suspension Preconditioning for Off-Road Vehicle Jumps

DART-S: Reachability-Audited Active-Suspension Preconditioning for Off-Road Vehicle Jumps

Yu Hu, Fangzhou Zhao, Liang Chen, Chen Min, Wei Li, Mingyuan Sang, Jiajia Ma, Shican Chen, Di Pang, Baolei Chen · N/A · 2026

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Summary

Airborne torque reaction cannot recover takeoff errors beyond the wheel angular-momentum budget. DART-S applies ramp-face suspension preconditioning to change pitch, pitch rate, and wheel spin before liftoff, thereby shifting the queried state and altering the remaining authority budget.

Abstract Summary

Airborne torque reaction cannot recover takeoff errors beyond the wheel angular-momentum budget. DART-S applies ramp-face suspension preconditioning to change pitch, pitch rate, and wheel spin before liftoff, thereby shifting the queried state and altering the remaining authority budget. To predict how each suspension action reshapes this state-budget pair, DART-S employs a local calibration map. A support-aware selector combines the predicted shift with local outcome evidence and an interval-reachability screen; an exact-pair audit reports residual authority. Across 600 new runs in 72 independent BeamNG sessions, every positive, negative, and boundary query follows its prespecified branch. At the confirmed 40°/13 m/s boundary, DART-S attains 24/24 post-touchdown attitude-criterion successes versus 0/24 for DART (session-level Holm-adjusted p=0.0234). At 11.5 m/s, a 0.35 s timing action attains 23/24 versus 0/24 for the static preset (p=0.0156). The 200 rad/s command guard keeps drivetrain hard-limit exceedance at zero across all 600 runs. The source code will be available at https://github.com/MeridianCAS/DART-S

Key Points

  • Airborne torque reaction cannot recover takeoff errors beyond the wheel angular-momentum budget
  • DART-S applies ramp-face suspension preconditioning to change pitch, pitch rate, and wheel spin before liftoff, thereby shifting the queried state and altering the remaining authority budget.
  • To predict how each suspension action reshapes this state-budget pair, DART-S employs a local calibration map.
  • A support-aware selector combines the predicted shift with local outcome evidence and an interval-reachability screen; an exact-pair audit reports residual authority.
  • Across 600 new runs in 72 independent BeamNG sessions, every positive, negative, and boundary query follows its prespecified branch.

Method

DART-S acts on both the queried takeoff state and the wheel-spin-dependent authority budget that defines its feasible set. This section first formulates this two-sided reachability model, then describes suspension preconditioning, deployment gating, and sequential cross-phase control. We inherit DART’s three-phase structure: ground approach (P0), airborne (P1), and landing (P2).

Method — DART-S: Reachability-Audited Active-Suspension Preconditioning for Off-Road Vehicle Jumps
Fig. 2: DART-S platform and test conditions. (a) DART-S full-scale 4WIDS platform; orange overlays identify the series-hydraulic suspension elements and cyan arrows show the body frame. (b) Representative geometry and disturbance classes: calibration, boundary, and washboard tests use tabletop-fillet ramps; convex $R=35/22$ m exit lips are separate mechanism and held-out conditions. Terrain profiles are schematic and not to scale; orange circles and green squares denote takeoff and touchdown.

Experimental Setup

All experiments were run in BeamNG.tech build 0.38.3.0 from the v0.38 release [ 29 ] at full vehicle scale on the same custom SBR4-based 4WIDS platform as DART; the exact build is retained in run provenance. Vehicle mass is 1383 kg, $I_{yy}\approx 2043\,\mathrm{kg\,m^{2}}$, wheel inertia 1.2 kg$\cdot$m 2 , and radius 0.36 m.

Its motor map has a nominal per-wheel plateau of 350 Nm and a trace-derived effective per-wheel airborne bound $\tau_{\max}\approx 1200$ Nm, yielding $a_{\theta}=4\tau_{\max}/I_{yy}\approx 2.35$ rad/s 2 (135 ∘ /s 2 ).

Results

We organize the results around the evidence chain that supports and bounds DART-S. We first demonstrate system-level boundary performance and then examine how suspension reshapes the takeoff state and wheel-momentum budget. We next identify the timing-dependent response and evaluate local selection before using ablations and profile-specific tests to establish robustness and scope. As shown in Fig.

5(a), DART-S satisfies the post-touchdown attitude criterion in 24/24 runs at 40 ∘ /13 m/s, whereas DART satisfies it in 0/24.

Sources and Demonstrations

Figures are reproduced from Hu et al. See the full paper for experimental details and the project page, when the paper links one, for demonstrations and videos.

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