Yuhan Pang

Exposing the Long-tail in Embodied Urban Navigation via Scalable Learning from In-the-Wild Videos

Learning embodied urban navigation policies from real-world data is constrained by the cost of task-specific data collection and the limited coverage of rare yet safety-critical scenarios. To address these challenges, we present a scalable framework for learning point-goal urban navigation from web-scale in-the-wild eg...