LERR-Nav: Learning to Coordinate Exploration, Recovery, and Reminiscing for Object Navigation

Object Navigation in unseen environments remains a fundamental challenge in embodied AI, as it requires agents to generalize visual and spatial reasoning to novel layouts. While recent advances in large language model (LLM) and vision-language model (VLM) have enhanced semantic mapping, spatial memory, and waypoint selecting for navigation, successful navigation requires more than selecting the next promising waypoint.

摘自论文摘要，摘要生成中。