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

Authors

Do you know Yu Hu?You can claim authorship or link another user.Do you know Fangzhou Zhao?You can claim authorship or link another user.Do you know Liang Chen?You can claim authorship or link another user.Do you know Chen Min?You can claim authorship or link another user.Do you know Wei Li?You can claim authorship or link another user.Do you know Mingyuan Sang?You can claim authorship or link another user.Do you know Jiajia Ma?You can claim authorship or link another user.Do you know Shican Chen?You can claim authorship or link another user.Do you know Di Pang?You can claim authorship or link another user.Do you know Baolei Chen?You can claim authorship or link another user.

Abstract

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

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Publication notes

Author note
9 pages, 6 figures