Preprint
Sep 2026
"Dear LLaVA, Please Drive": A Depth-Aware Vision-Language Agent for Closed-Loop Robotic Control
This work proposes a parameter-efficient approach to fine-tune a pretrained VLM for autonomous navigation using an Imperative Learning paradigm, and introduces a unified end-to-end navigation pipeline for natural-language-driven robotic control.
Sebastian Berger, Katharina Winter, Fabian B. Flohr
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