Learning to Navigate in Open Urban Environments Using a Simple Sim2Real Strategy
Published in ICLR 2025 Workshop EmbodiedAI, 2025
Autonomous navigation in open, dynamic urban environments poses unique challenges due to unstructured instructions, complex layouts, and moving obstacles. We propose Real-Nav,a unified vision-and-language navigation framework that operates seamlessly indoors and outdoors by tightly integrating semantic mapping with multimodal alignment.