UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
UrbanVLA is a Vision-Language-Action framework for urban navigation that aligns noisy route waypoints with visual observations during execution to plan driving trajectories. It uses a two-stage training pipeline—Supervised Fine-Tuning and Reinforcement Fine-Tuning—to integrate high-level route guidance with on-board vision, enabling scalable long-horizon navigation in dynamic city environments.