Towards Learning a Generalist Model for Embodied Navigation

arXiv:2312.02010v3 Announce Type: replace
Abstract: Building a generalist agent that can interact with the world is the intriguing target of AI systems, thus spurring the research for embodied navigation, where an agent is required to navigate according to instructions or respond to queries. Despite the major progress attained, previous works primarily focus on task-specific agents and lack generalizability to unseen scenarios. Recently, LLMs have presented remarkable capabilities across various fields, and provided a promising opportunity for embodied navigation. Drawing on …

abstract agent ai systems arxiv building cs.ai cs.cv embodied focus major navigation progress queries research systems type world