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cs.RO2026
Language2Drive: Do Vision-Language-Action Models Really Follow the Instructions in Autonomous Driving?
Zihan You, Zehua Fan, Wenqi Lyu +19
Recent Vision-Language-Action (VLA) models increasingly use natural-language instructions to condition autonomous driving behavior. Yet existing closed-loop benchmarks primarily me…
cs.RO2026
From Failures to Supervision: DynamicEnvPlan for Robust Long-Horizon Embodied Planning
Hao Yuan, Yuxin Wang, Lei Ji +1
Physical-world interaction is inherently dynamic, as environments can evolve during execution, requiring agents to adapt their plans under non-stationary conditions. We study this…