Abstract: Accurate and robust state estimation at nighttime is essential for autonomous robotic navigation to achieve nocturnal or round-the-clock tasks. An intuitive question arises: can low-cost ...

Abstract: This work presents a novel approach to zero-shot visual object goal navigation that leverages the ability of visual Large Language Model (vLLM) for finding target in unknown environment. Our ...