A simulation study showing that adding a model-based tire-wear objective to MPC lowers that same model's wear metric by 19.19% and 65.20% for swerve-drive AGVs, without hardware validation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Tire Wear Aware Trajectory Tracking Control for Multi-axle Swerve-drive Autonomous Mobile Robots
A simulation study showing that adding a model-based tire-wear objective to MPC lowers that same model's wear metric by 19.19% and 65.20% for swerve-drive AGVs, without hardware validation.